Data Scientist jobs in Tel Aviv-Yafo

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data scientists & engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products. The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions — like demand forecasts — to drive revenue management decisions that actually move the needle. At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through a price optimization decision model that simulates the market — weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies — to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything. You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team. Responsibilities: • Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure. • Analyzing existing models and algorithms, researching for new approaches in price optimization. • Design, build and maintain distributed data processing workflows (batch & streaming). • Drive best practices for data quality, validation, testing, and observability. • Own and evolve Fetcherr’s data architecture in alignment with business and product goals. • Manage sprint planning, task breakdown, code reviews, and performance feedback for your team. • Contribute hands-on to key development tasks and architecture decisions. • Recruit, mentor, and grow the data science engineering team. Requirements • 3+ years of proven experience leading and managing a team of data science / data engineers (people management is required). • 4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience. • Proven experience designing and maintaining large-scale data platforms. • Expertise with data orchestration tools (Airflow, Prefect, or Dagster) • Cloud platform experience — GCP preferred (AWS/Azure acceptable) • Strong communication, mentorship, and collaboration skills • BSc/MSc in Mathematics/ physics/ statistics/ Computer Science. • Fluent English (spoken and written) Nice to have: • Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) • Background working with ML pipelines or data science teams • Understanding of data contracts, lineage, and versioning tools • Knowledge of data structures and algorithms • Familiarity with Docker • Experience optimizing pipelines and databases for performance and cost • CI/CD pipelines (GitHub/GitLab) • Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar) • Exposure to airline, pricing, or GDS systems

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact. Responsibilities: • Develop and implement state-of-the-art econometric and machine learning models for demand forecasting. • Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability. • Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production. • Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives. Requirements • 5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes. • Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn). • Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas. • Feature engineering, feature importance testing, explainability based experience. • Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field. • Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment). • Excellent communication and collaboration skills. Nice to have: • Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc.) • Experience applying ML in domains like finance, trading, revenue management etc. • Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions). • Strong data visualization and exploratory data analysis skills. • Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures. • Participation in competitive programming or data science challenges (e.g., Kaggle). If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from you.

The opportunity Aura from Unity is a large-scale mobile platform embedded on hundreds of millions of devices, delivering personalized content — news, video, and apps — to users at the moments that matter most. If you love doing real applied research — training deep learning models and seeing the impact on millions of users — this is that role. Our AI team builds content recommendation systems for news and video at massive scale, with challenges that are fun and far from trivial. We work with advanced architectures across multimodal signals - text, video, and behavioral data - and, naturally, with GenAI and a growing fleet of agents. We're looking for a Senior Data Scientist who loves what they do: a strong foundation in machine learning, statistics, and software engineering, a passion for modern AI-accelerated development, and the drive to own research, design, and end-to-end delivery of ML systems that ship to millions. What you'll be doing • Research, train, and deploy state-of-the-art recommender systems using deep learning and GenAI • Own projects end-to-end — from business idea through modeling, experimentation, and production deployment — including the parts that involve aligning other people around them • Build online, scalable models and serving solutions that leverage massive datasets and reach hundreds of millions of users • Apply multimodal and sequence-modeling techniques to real product problems where model improvements translate directly to business impact • Lead cross-team initiatives, improve the tooling the team works with every day, and mentor others as you go • Collaborate with ML experts, big data engineers, product managers, and developers across the organization to solve complex problems What we're looking for • 5+ years of hands-on experience as a data scientist or applied ML researcher/engineer • A builder's mindset: you've taken ML projects from idea to production, across domains and problem types, and you care about what ships • Strong Python and PyTorch skills, with solid grounding in deep learning theory • Strong analytical skills and product sense — you can frame a business problem and choose the right ML solution for it, not just the fanciest one • A track record of being the person others come to: you've guided less experienced teammates and driven projects that spanned more than one person You might also have • Experience with applied recommender systems, ranking, or ads/marketplace ML • Experience with large-scale training and serving (distributed training, low-latency inference) • Experience with GenAI/LLM applications, embeddings, or multimodal models • Familiarity with JAX or other ML frameworks beyond PyTorch Life at Unity Unity [NYSE: U] is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this Web site or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at [email protected]. #LI-DB1 #SEN This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. This posting is intended to fill an existing vacancy, and we are committed to providing applicants with updates throughout the hiring process in accordance with applicable law. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at [email protected].

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. About us JLL (NYSE: JLL) is a Fortune 200 company and a global leader in commercial real estate. We are a $20B+ business with over 100,000 employees worldwide and the stability and resources to invest seriously in AI. Under our Accelerate 2030 strategy, data and AI are the core pillars of how the company will operate and grow. The Tel Aviv technology hub is at the center of that effort. We design, build, and operate production-grade AI systems that shape how decisions are made across JLL's diverse businesses. The position We are looking for a Data Science Manager to join the Enterprise Data Science Group to serve as a senior, hands-on manager and the group lead's close partner. You'll start by leading multiple strong data scientists internationally, driving several of our applied research tracks, with a clear mandate to grow the team in Tel Aviv as new projects land: hiring, setting vision and roadmaps, and aligning stakeholders on goals and KPIs. One of the most ambitious parts of the roadmap is building custom language models for JLL, models adapted to commercial real estate on proprietary data few companies can match for various use cases. The role offers a rare combination of hard, real-world applied research, leadership, and the full stack including dozens of data sources, billions of data points, closed and open-weight LLMs, post-training/fine-tuning, agentic workflows, multiple cloud environments, and more. You'll partner with strong data scientists, engineers, product managers, and business stakeholders and see your work land in production. Representative projects: • Classifying companies by industry code at scale, combining LLMs, custom embeddings, and classic ML. • GenAI-based entity resolution, linking companies and properties across dozens of data sources using custom embeddings, deep pipelines, LLMs at scale, fine-tuning, clustering, and more. • Agentic, LLM-based, and ML-driven recommender systems for driving cross-sell and up-sell across our diverse businesses. • Forecasting commercial lease rent dynamics and market trends from JLL's global transaction and market data using millions of leases and diverse input. • Building agents and MCP servers that put our research and data to work. • Exploratory research for incorporating the latest approaches (tabular foundation models, time-series foundation models, multi-agent pipelines, reinforcement learning, auto-research, novel evaluation methods, etc.) into our work. We are looking for: • 2+ years managing data scientists, AI researchers, ML engineers or similar. • Strong leadership mentality where you inspire your team, initiate beyond core data science, and partner with product and business to spot new project opportunities. • Proven ML/AI excellence, with recent years focused on GenAI. • A track record of leading multi-person efforts end-to-end, shipping to production, and creating lasting value. • Comfortable with communicating your work internally and externally. • A strong research track record (e.g., scientific publications, technical reports/blogs, conference talks). • An MSc (PhD an advantage) in computer science, math, or another quantitative field, or equivalent experience. Ways to stand out: • Hands-on post-training of open-weight models (e.g. Llama/Qwen-class): SFT, preference optimization (DPO/GRPO), LoRA vs. full fine-tuning, and synthetic data curation • Distributed training (FSDP, DeepSpeed) or high-throughput LLM serving (vLLM, SGLang) • Experience with agentic systems: tools and MCP design, multi-agent orchestration, context engineering, and rigorous evaluation • An entrepreneurial track record We're a tight-knit team of about 20 with a strong, fun, collaborative culture and a positive atmosphere, hybrid from our newly renovated Tel Aviv headquarters, a homelike space with team breakfasts and an on-site gym. We offer highly competitive compensation and benefits, including private health insurance. Location: On-site –TEL AVIV, ISR If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Data Scientist (Hybrid) – Tel Aviv About us JLL (NYSE: JLL) is a Fortune 200 company and a global leader in commercial real estate. We are a $20B+ business with over 100,000 employees worldwide and the stability and resources to invest seriously in AI. Under our Accelerate 2030 strategy, data and AI are the core pillars of how the company will operate and grow. The Tel Aviv technology hub is at the center of that effort. We design, build, and operate production-grade AI systems that shape how decisions are made across JLL's diverse businesses. The position We are looking for a Senior Data Scientist to join the Enterprise Data Science Group — an outstanding data scientist who thrives on complex problems that require critical thinking and rigorous evaluation, the kind that can’t be solved out of the box with vibe coding. You’ll code solutions end-to-end and shape how machine learning and AI drive business value at scale. You'll work across the full stack: dozens of data sources, billions of data points, closed and open-weight LLMs, fine-tuning LLMs, agentic workflows, and multiple cloud environments. Most of your projects go past research and into production, where the rest of the business depends on them. Representative projects: • GenAI-based entity resolution, linking companies and properties across dozens of sources using custom embeddings, LLMs at scale, fine-tuning, and clustering. • AI-generated global company taxonomies that rival purchased third-party solutions, across millions of companies and their domestic and global hierarchies. • Agentic, LLM-based, and ML-driven recommender systems for driving cross-sell and up-sell across our businesses. • Forecasting commercial lease rent dynamics and market trends from millions of leases and JLL's global transaction data. • Agents and MCP servers that put our research and data to work, plus exploratory tracks on tabular and time-series foundation models, multi-agent pipelines, reinforcement learning, and novel evaluation. We are looking for • 5+ years of industry experience, with original research and/or ML/AI solutions deployed in production. • Sound judgment in choosing the approach for the situation: when to use frontier model APIs, fine-tuned open-weight models, agentic workflows, classical ML, etc. • Strong foundations in ML and statistics. • A solid understanding of transformers and LLM internals, from attention, tokenization, and embeddings to how models are post-trained and served. • A rigorous evaluation mindset across classical and non-deterministic systems: error analysis, benchmark creation and ground-truth design, LLM-as-judge with human calibration. • Hands-on experience with agentic systems: tools and MCP design, RAG, multi-agent orchestration, and context engineering. • An MSc (PhD an advantage) in computer science, mathematics, or another quantitative field, or equivalent experience. Ways to stand out • Experience post-training open-weight models (e.g. Llama/Qwen-class): SFT, preference optimization and RL (DPO, GRPO, RLVR), LoRA vs. full fine-tuning, and synthetic data curation. • Hands-on experience scaling LLMs in training and inference: distributed training (FSDP, DeepSpeed), high-throughput serving (vLLM, SGLang), quantization (FP8/INT4), and KV-cache optimization. • Engineering with data at scale: pipelines, production deployment, and owning cost, latency, and monitoring in the cloud. • A public research footprint including publications, technical blogs, or conference talks. We're a tight-knit team of about 20 with a strong, fun, collaborative culture and a positive atmosphere, hybrid from our newly renovated Tel Aviv headquarters, a homelike space with team breakfasts and an on-site gym. We offer highly competitive compensation and benefits, including private health insurance. Location: On-site –TEL AVIV, ISR If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.

About Bluevine Bluevine is the largest small business banking platform in the U.S., redefining how entrepreneurs manage their money. We create modern financial solutions, from checking and lending to payments and beyond, designed to help small business owners grow, thrive, and take control of their financial future. Our best-in-class technology, advanced security, and deep understanding of the small business community give our customers the confidence to focus on what they do best. Since 2013, we’ve supported more than 750,000 small businesses nationwide. Backed by leading investors like Lightspeed Venture Partners, Menlo Ventures, 83North, and Citi Ventures, our 500+ person global team shares one mission: to give small businesses the financial tools they need to succeed. We’re innovators driven by big ideas, collaboration, and real impact. Here, you’ll have the freedom to take ownership, grow your career, and make a difference for small business owners across America. Ready to shape what’s next? At Bluevine, we are building the next generation of AI-powered capabilities that support data-driven decision-making across the company. We are looking for a LeadData Scientist with hands-on experience in Generative AI, Large Language Models, and applied machine learning. What You'll Do • Research and evaluate LLMs and Generative AI techniques for business and data science use cases. • Collaborate with technical and cross-functional teams to integrate AI capabilities into existing products and workflows. • Share knowledge and support the adoption of Generative AI across the organization. • Design experiments to adapt and evaluate foundation models using internal and domain-specific data. • Build and productionize LLM-based applications, AI agents, and RAG solutions. • Develop prompting, retrieval, and evaluation strategies to improve model quality, reliability, and business impact. • Work with embeddings, vector databases, and LLM orchestration frameworks. • Apply Generative AI to use cases such as risk modeling, fraud detection, and customer analytics. • Monitor and improve the performance, cost, and reliability of AI solutions in production. What We’re Looking For • 8+ years of hands-on experience in Data Science, Machine Learning & Applied AI. Strong experience with Generative AI and Large Language Models. • Experience building LLM-based applications, AI agents, RAG solutions, or other production-oriented AI systems. • Experience with context engineering, model evaluation, fine-tuning, embeddings, or vector databases. • Strong proficiency in Python and common data science and machine learning tools. • Experience deploying and monitoring AI or machine learning solutions in production. • Strong analytical, problem-solving, communication, and collaboration skills. • Ability to work independently and translate AI capabilities into practical business solutions. Nice to Have • Experience with LLMOps, model observability, or cloud-based AI services. • Experience with LangChain, LangGraph, LlamaIndex, or similar frameworks. • Background in financial services, risk, fraud, or customer analytics. Benefits & Perks • Excellent group health coverage • Flexible hybrid work model • Large Study Fund contribution • Salary Benchmarks and Checkpoints • Monthly meal card of TenBis or CiBus (your choice) with generous balance • Free parking for cars, scooters, and bikes • Free gym membership • Company-sponsored Mental Health Benefits • PTO, Company Holidays, and Flexible Holidays • Community-based volunteering opportunities

Who is Eleos Health? The people who deliver care in our communities and homes do some of the most important work in healthcare. But too often, theyʼre asked to spend their time navigating paperwork, administrative burden, and problems they only discover after something has already gone wrong. Eleos exists to change that. Weʼre building the system of action for community-based care - helping behavioral health, hospice, home health, and other care teams spend less time reacting to problems and more time focused on the people they serve. Powered by our Polaris AI, Eleos works alongside clinicians and their teams to understand whatʼs happening across care in real time and take action before issues become problems, reducing administrative burden, protecting revenue and compliance, and giving care teams more time and capacity to deliver great care. Our vision is a world where care teams can stay one step ahead, rather than constantly catching up. Weʼre helping shift an entire industry from reactive to proactive, and we need talented people to help us get there. Who is Eleos Health? Today, more people than ever are speaking publicly about their mental health. Whether it's ourselves, our friends and family or even public figures, taking care of your behavioral health is no longer a taboo, it's vital, and it's only human. Eleos is on a mission to help deliver the world's most effective behavioral care through data, measurement, and personalization. Or simply put, We want to give clinicians the support they need to do the important work only they can do. What is this opportunity? At Eleos, we build AI that turns behavioral health conversations into clinical documentation and actionable insights, helping care teams spend less time on administrative work and more time with the people they support. As a Senior Data Scientist, you will own the development and quality of AI capabilities that clinicians use in their daily work. You will work with real-world conversations, clinical text, and audio to build solutions for documentation, structured information extraction, and clinical insights across diverse care settings. This is a hands-on role combining experimentation, production software development, and close collaboration with engineering, product, and clinical experts. You will help define what good AI output looks like, build ways to measure it, and turn promising experiments into reliable product capabilities. Who are you? • 5+ years of industry experience in data science, applied machine learning, or AI engineering. • 5+ years of hands-on Python experience, including building and maintaining production services, with strong practices in software design, testing, code review, and debugging. • Ability to translate ambiguous product and clinical needs into maintainable technical solutions and measurable success criteria. • Proven experience owning AI solutions end to end, from problem definition and experimentation to deployment, monitoring, and ongoing improvement. • Hands-on experience building production LLM applications, including prompt design, structured outputs, and conversational or agentic workflows. • Experience designing LLM evaluations, including trusted evaluation datasets, LLM-as-a-judge methods, and systematic error analysis. • Practical experience developing and deploying applications on cloud platforms such as AWS, GCP, or Azure. How will you contribute? • Build and own production AI capabilities for clinical documentation, structured information extraction, clinical insights, chat experiences, and AI agents. • Develop reusable LLM workflows and services, including prompt components, retrieval, and tool integrations that support diverse clinical use cases. • Drive measurable quality improvements through evaluation datasets, automated testing, clinical feedback, and investigation of real-world failure patterns. • Make AI reliable at scale, balancing accuracy, consistency, latency, and cost, and owning improvements from experimentation through production monitoring. • Shape technical and product direction alongside engineering, product, and clinical experts; mentor colleagues and equip teams with tools to build and evaluate AI confidently. What qualifications and skills will help you to be successful? Some nice to haves are • Experience building AI applications, agents with tool use, context management, and multi-step workflows. • Experience with audio or multimodal models, speech-to-text, or speaker diarization. • Experience with healthcare applications, sensitive data, or multilingual NLP. • Experience working in a startup environment. • A master’s or Ph.D. in Computer Science, Statistics, Machine Learning, or a related field. This is a unique opportunity to join a startup that is having a meaningful impact on the well-being and mental health of thousands. We have • A product that positively impacts peoples' lives every single day. • A team of amazing people with a shared vision and the infinite drive to make it happen • We offer significant equity. • Opportunity to build, grow and become highly instrumental in shaping how technology can increase the effectiveness of therapy. • Hybrid work opportunities. • Mental health days off you can take any given moment simply because you need them.

Description Sentra is the global leader in cloud-native data security for the AI era. The company’s mission is to empower organizations to confidently scale their data operations across multi-cloud and on-premises environments while leveraging the power of AI without compromising security. Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field. We are seeking an experienced Data Science Team Lead to join us and play a key role in shaping the future of data security. As a Data Science Lead, you will be part of Sentra’s Classification team, which lies at the core of our mission - identifying sensitive data and helping customers detect the most critical risks in their cloud environments. Our multidisciplinary team of data scientists. Responsibilities • Lead the end-to-end lifecycle (design, development, and deployment) of ML models (e.g., NER, LLMs) to advance our data classification and entity recognition capabilities. • Partner with Product to align cutting-edge AI technologies with real-world customer needs and Sentra’s roadmap. • Architect robust experimentation frameworks to accelerate model iteration, validation, and production deployment. • Utilize extensive datasets to define quality benchmarks and drive continuous performance improvements. • Champion innovation by identifying opportunities for automation and AI-driven features that maximize customer value. Requirements • 7+ years of DS experience, with deep expertise in NLP and/or Generative AI. • 3+ years leading DS teams (managing 3+ ICs), with a focus on team growth and mentorship. • Proven track record of scaling ML models in production environments. • Strong proficiency in Python, SQL, and modern ML frameworks. • Hands-on experience with Big Data technologies, MLOps, and cloud-based AI infrastructure. • Strategic mindset, with experience managing technical debt and defining long-term research roadmaps in Agile environments. • Excellent communication skills, capable of translating complex technical insights for diverse stakeholders. Nice to have: • Prior experience in the data security or the compliance industry. • Experience processing large amounts of data using Big Data tools like Spark. • Experience using cloud based fine tuning frameworks. • A Master’s or Ph.D. in a relevant field (e.g., Data Science, Computer Science, Statistics, Mathematics) is preferred.

Description Join Personetics as an Intermediate Applied Data Scientist, where you'll work with a dynamic team to analyze complex data and deliver innovative solutions for our clients. Utilize your expertise to drive data-driven decision-making and support the development of cutting-edge financial technology. About the position We are hiring an Applied Data Scientist to build the models that turn raw transaction data into the insights our banks’ customers see every day. The stack is deliberately wide: classical ML on tabular data, deep learning, LLM-based systems, and agentic flows. We choose the right approach for each problem, balancing analytical quality, production readiness, and time to market. You drive the analytical work, working closely with Product and Engineering to take ideas from evidence through production. Responsibilities • Analyze and interpret complex datasets to identify trends and patterns. • Collaborate with cross-functional teams to develop data-driven solutions. • Build and maintain predictive models to enhance business decisions. • Communicate findings and insights effectively to stakeholders. • Stay updated with the latest data science technologies and methodologies. • Contribute to the continuous improvement of data processes and systems. Requirements • Bachelor's degree in Data Science, Computer Science, or related field. • 3+ years of experience in applied data science or a similar role. • Proven experience with machine learning algorithms and statistical modeling. • Proficiency in programming languages such as Python or R. • Strong analytical skills and ability to work with large datasets. • Excellent communication and teamwork skills. • Experience with data visualization tools like Tableau or Power BI. Nice to have • FinTech or banking experience. • Transformer models — fine-tuning and production inference. • Experience taking a model into production, including monitoring and post-launch iteration. • Cloud platforms (AWS, Azure).

Description Join Noma Security and help shape the future of AI security in a fast-paced, high-impact environment. Noma is building the first comprehensive AI Security and Governance Platform, helping organizations adopt AI and LLMs with confidence and control. As AI becomes core to modern enterprises, we provide seamless visibility and protection across the entire AI lifecycle. Our team works at the intersection of AI, security, and cloud, shaping a new category in a rapidly evolving market. At Noma, you’ll have the opportunity to make a meaningful impact while working with exceptional people on technology that truly matters. We’re looking for a Senior Data Scientist to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights. In this role, you will design, build, and productionize advanced models that help organizations secure AI systems across data, models, and runtime usage. You’ll work closely with Product, Engineering, and Security teams to turn complex, real-world security problems into scalable, high-impact AI solutions. This is a high-impact, hands-on role with true ownership, where your work directly shapes the intelligence powering a category-defining AI Security platform. 🛠️ What You’ll Do: • Own End-to-End Model Development (Research → Production) • Take full ownership of the model lifecycle: problem definition, research, prototyping, training, evaluation, deployment, and ongoing optimization. • Design and build scalable ML / AI solutions to detect, analyze, and mitigate AI-related security risks. • Ensure models are robust, explainable, and production-ready in real-world enterprise environments. • Partner Deeply with Product & Engineering • Collaborate closely with Product Managers to translate customer pain points and security requirements into clear modeling objectives. • Work hands-on with engineering to integrate models into production systems and data pipelines. • Balance research depth with pragmatic execution and business impact. • Build AI Security Intelligence • Develop capabilities across areas such as AI behavior analysis, anomaly detection, model governance, data risk detection, and usage observability. • Work with structured and unstructured data, including logs, prompts, model outputs, and metadata. • Continuously iterate on models based on usage patterns, feedback, and emerging threat vectors. • Lead Research POCs & Innovation • Stay at the forefront of LLMs, applied ML, and AI security techniques and bring new ideas into the product. ✅ What You Bring: • 5+ years of experience in Data Science or Applied ML roles. • 3+ years of backend development experience, working with production systems. • Strong hands-on experience with language models / LLMs and modern ML techniques. • Bachelor’s degree in Computer Science (or equivalent practical experience). • Proven experience owning end-to-end research POCs, from ideation to real-world impact. • Strong understanding of product and business value, with a bias toward lean, effective solutions. • Deep understanding of language models 🎯 Nice to Haves • Experience in AI security, application security, or threat detection. • Background in LLM workflows, RAG pipelines, prompt analysis, or multi-model systems. • Experience building internal platforms or developer-facing ML tooling. • Previous experience in leadership roles such as Tech Lead or Team Lead. • Startup experience, especially in early or growth-stage companies. 💙 Perks & Benefits • Located in a prime area with easy access to public transportation, near the Hashalom train station and the Light Rail. • A bright, spacious, dog-friendly office that makes you smile the moment you walk in 🐶 • Team bonding activities, company retreats, happy hours, and holiday gifts • Pilates classes at the office 💪🧘‍♀️ • Never hungry: Monthly lunch budget, dinners provided, and a fully stocked kitchen 🍽️ • A warm, supportive, and people-first company culture • Pension & Keren Hishtalmut (advanced training fund) • A global work environment with teams across Tel Aviv, the US, the Netherlands, and London • Options that let you share in Noma’s growth and success About The Company Noma is building the industry's first application security platform built to secure the Data & AI Lifecycle—from development to production and from classic data pipelines and ML to GenAI. Our mission is to create a common language between data science and application security teams, helping them secure AI-powered apps without slowing down AI innovation. In just a year, we've helped our customers, including Fortune 500 companies, secure and protect their entire Data & AI Lifecycle with our holistic platform.

We offer the industry’s only platform that fuses customer identity and anti-fraud solutions – customer identity management, identity verification, and fraud prevention. We sell to industries with large, consumer-facing businesses such as: banking, financial services, insurance, fintech, gaming, ecommerce/retail, telco / media, utilities, etc. About the Role: Transmit Security is a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product. If you are a talented software engineer and engineering manager that likes to solve complex problems and looking for your next challenge we want you to join our team! What you’ll do: As the Team Leader of a Detection and Response Engineering team at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team! The group responsible for 4-5 different products: 1. DRS (fully managed fraud detection solution) 2. Agentic Visibility 3. Citadel (ITP) - lean version of DRS capabilities 4. Transaction Monitoring offering 5. More might come soon Responsibilities: • Lead and guide one of the DRS Engineering teams in the design and deployment of scalable data infrastructure. • Collaborate effectively with cross-functional teams (Data Science, Research, Security, etc.) to ensure alignment on business needs and security standards. • Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment. • Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement. • Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives. • Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure. What you’ll need: • 5+ years of software engineering experience, with at least 2 years in a leadership capacity. • Advantage: and cloud platforms (AWS, GCP, Azure). • Proficiency in programming languages such as NodeJS, Python, Java, Scala, or Go. • Familiarity with databases (Postgres SQL, Redis) and Kubernetes. • Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration. • Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems. • Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment. • For Data-Science - looking for an Engineering Team lead with a past knowledge / experience in data-science teams. Advantages: • Bachelor’s degree in Computer Science or a related field. • Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) • Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes. • Background in identity management, risk assessment, or fraud detection. #LI-TL1 #LI-Hybrid

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Data Scientist: We are hiring a Data Scientist to join our data team, which plays a central role in shaping cross-company decisions across GTM, Product, and Business functions. Responsibilities: • Develop, implement, and maintain machine learning models on business-related data • Apply statistical methods to analyze large, complex datasets and extract actionable insights • Partner with stakeholders across Product, GTM, and Business teams to identify opportunities and solve high-impact problems • Support deployment, evaluation, and monitoring of models in production environments Requirements: • 3+ years of experience in Data Science • Strong statistical background • Solid understanding of classical machine learning models and algorithms • Experience working with business data (e.g., product, marketing, revenue, user behavior) • Proficiency in Python and SQL • Experience with modern AI coding tools (e.g., Claude Code, Cursor) • Experience working with Git Tech stack: • Data warehouses and platforms such as Snowflake and/or Databricks – required • Experience working in modern data environments and pipelines Education: • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required • Master’s degree in a relevant field – preferred Preferred qualifications: • Experience working in production environments • Strong problem-solving skills and ability to work in a cross-functional environment • This role is ideal for someone who wants to work at the intersection of data, product, and business, and have a direct impact on company-wide decisions.

Description About Us Arpeely is bootstrapped and has been profitable since day one. We built one of the most efficient programmatic acquisition engines on the planet: processing billions of ad decisions a day, generating terabytes of live behavioral data, and turning it into margins most SaaS companies would kill for. At the core of that engine is a team of data scientists and ML engineers running tens of billions of sub-second predictions a day, deciding in milliseconds which impression is worth buying and what it’s worth. Now we’re taking everything we’ve learned about how people move through the web and putting it into our most innovative consumer product yet: Ace AI, an AI-native browser already reaching millions of people, built to simplify and improve everyday online life with the help of AI. This is a rare opportunity: a category that hasn’t meaningfully changed in over a decade, and a profitable company with the data and the acquisition engine to win it on its own terms. Come build it with us. What You’ll Do • Mentor a team of extremely talented and success-hungry data scientists. • Initiate and manage cutting-edge projects from inception to delivery, including developing structured and automated solutions. • Lead the data strategy: be responsible for planning, prioritizing, and building the right data solutions to support business needs. • Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems. • Identify and propose data science and algorithmic solutions for various product initiatives. • Use your excellent communication skills, both written and verbal, to explain technical concepts and analysis implications to senior leaders, and influence cross-functional teams to improve performance. • Partner with other departments (e.g. Management, R&D, Product) to support decision making. Requirements • Two years of experience in leading a team. • 4+ years of practical analytics experience in big data businesses (preferably at a B2C company). • A hands-on, passionate person who likes to get to the bottom of things in terms of algorithms, data, and business. • Excellent analytical skills with experience in querying large, complex data sets. • Strong understanding of statistical significance. • Hands-on experience with machine learning algorithms; Python and data visualization tools such as Tableau, Looker, etc. • BSc degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field. • Self-learner, multi-tasker, able to work independently. • Self-sufficient, proactive problem-solver. • Excellent communication skills, both written and verbal. • Familiarity with the ad-tech industry — a big plus. • Experience in implementing real-time machine learning and data mining algorithms in large-scale environments — a big plus. • Fun to work with and a team player :)

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more. We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Data Science department powers Riskified’s core value engine by building scalable, production-grade ML solutions that protect revenue and automate complex decisions. We leverage diverse analytical techniques - from advanced statistical modeling and graph theory to classic machine learning and deep learning - to extract maximum signal from complex datasets. As a Data Scientist, you will own projects end-to-end: framing business problems, developing models, and deploying them to production. This role demands strong quantitative fundamentals, deep machine learning expertise, and a pragmatic problem-solving mindset to translate raw data into real business impact. What You'll Be Doing • End-to-End ML Development: Design, train, evaluate, and optimize scalable predictive models (classification, regression, clustering, deep learning) for complex business challenges. • Data & Feature Engineering: Clean, transform, and extract high-value features from large-scale structured and unstructured data to continuously boost model performance. • Collaboration & Production: Work within the Data Science team and alongside Data Engineers, Developers, and Product Managers to deploy models into production and translate complex insights into clear business actions. • Innovation & GenAI: Continuously explore emerging ML techniques, state-of-the-art tools, and GenAI workflows to elevate the team's analytical capability. Qualifications • M.Sc. in Computer Science, Electrical Engineering, or a related quantitative field. • 2+ years of industry experience developing and deploying machine learning models in production environments. • Deep theoretical understanding and practical experience of ML algorithms on tabular and structured data. • Proactive team player with a strong curiosity and enthusiasm for adopting modern GenAI developer tools. • Proficiency in Python, SQL, and standard ML frameworks. • Strong hypothesis-driven problem-solving skills. • Excellent communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders. • Direct experience in risk management, e-commerce fraud detection, or fintech domains.Excellent communication skills, with the ability to explain complex quantitative concepts to non-technical stakeholders- Advantage Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here! Some of our Tel Aviv Benefits & Perks: • Equity for all employees, Keren Hishtalmut, pension • Private medical insurance, extra time off for parents and caregivers • Commuter and parking benefits • Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer • Wide-ranging opportunities to volunteer and make an impact • Commitment to your professional development with global onboarding, skills-based courses, full access to Udemy, lunch & learns • Awesome Riskified gifts and swag! In the News Geektime: Riskified Goes Public Walla!: Happy Hour at the Riskified Offices Geektime Insider: A look at Riskified Tel Aviv Globes: Riskified to contribute the highest amount up to date to Tmura Globes: Riskified is among Israel’s fastest growing companies TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

About Us Riskified empowers businesses to unleash ecommerce growth by taking risk off the table. Many of the world’s biggest brands and publicly traded companies selling online rely on Riskified for guaranteed protection against chargebacks, to fight fraud and policy abuse at scale, and to improve customer retention. Developed and managed by the largest team of ecommerce risk analysts, data scientists and researchers, Riskified’s AI-powered fraud and risk intelligence platform analyzes the individual behind each interaction to provide real-time decisions and robust identity-based insights. Riskified is proud to work with incredible companies in virtually all industries including Booking.com, Acer, Gucci, Lorna Jane, GoPro, and many more. We thrive in a collaborative work setting, alongside great people, to build and enhance products that matter. Abundant opportunities to create and contribute provide us with a sense of purpose that extends beyond ourselves, leaving a lasting impact. These sentiments capture why we choose Riskified every day. About the Role The Data Science department powers Riskified’s core engine by building production-grade algorithmic solutions at immense scale. As a Staff Data Scientist on the Identity team, you will drive the innovation roadmap for our Identity Graph Engine. You will architect, research, and deploy state-of-the-art machine learning models - spanning graph neural networks, transformers, and deep tabular architectures - to solve complex entity resolution and fraud prevention challenges at scale. What You'll Be Doing • Drive Identity Graph Innovation: Architect and advance the next generation of our Identity Graph Engine using state-of-the-art graph models, transformers, and machine learning techniques. • Technical Leadership: Define the research roadmap for identity resolution, setting technical standards and guiding complex research projects from initial concept to high-throughput production systems. • Large-Scale Modeling: Build scalable predictive and representation-learning models over massive tabular, sequence, and graph-structured datasets. • Cross-Functional Architecture: Collaborate closely with Data Engineering, Core Software, and Product teams to seamlessly integrate complex ML pipelines into real-time production environments. • Mentorship & SOTA Research: Benchmark and import cutting-edge academic research into practical business solutions while mentoring senior data scientists on modern modeling paradigms. Qualifications • Education: M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field. • Experience: 6+ years of hands-on experience designing, training, and deploying complex machine learning models in large-scale production environments. • Deep Learning & SOTA Models: Proven expertise with Transformers, Deep Neural Networks (DNNs), Graph Neural Networks (GNNs), or Advanced Tabular Learning architectures. • Big Data Ecosystem: Strong practical experience working with large-scale distributed data processing systems (e.g., Spark, Databricks) and graph databases/frameworks. • Technical Influence: Proven track record of technical leadership, setting architectural direction, and translating complex business requirements into high-impact algorithmic solutions. Advantages • Experience in fraud detection, risk management, or fintech. • Experience in Identity Resolution, Entity Disambiguation, Link Analysis, or Complex Network Modeling. Life at Riskified We are a fast-growing and dynamic tech company with 750+ team members globally. We value collaboration and innovative thinking. We’re looking for bright, driven, and passionate people to grow with us. Our Tel-Aviv team is currently working in a hybrid of remote and in-office work. We have recently moved to our new space in Tel Aviv - check it out here! Some of our Tel Aviv Benefits & Perks: • Equity for all employees, Keren Hishtalmut, pension • Private medical insurance, extra time off for parents and caregivers • Commuter and parking benefits • Team events, fully-stocked kitchen,lunch stipend, happy hours, yoga, pilates, functional training, basketball, soccer • Wide-ranging opportunities to volunteer and make an impact • Commitment to your professional development with global onboarding, skills-based courses, lunch & learns • Awesome Riskified gifts and swag! In the News Geektime: Riskified Goes Public Walla!: Happy Hour at the Riskified Offices Geektime Insider: A look at Riskified Tel Aviv Globes: Riskified to contribute the highest amount up to date to Tmura Globes: Riskified is among Israel’s fastest growing companies TechCrunch: Riskified Prevents Fraud on Your Favorite E-commerce Site Riskified is deeply committed to the principle of equal opportunity for all individuals. We do not discriminate based on race, color, religion, sex, sexual orientation, national origin, age, disability, veteran status, or any other status protected by law.

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google’s Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 65% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We’re honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you’ll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! Minimum Qualifications • 5+ years of experience in applied Data Science and AI engineering with significant hands-on work building LLM-based applications or AI agents. • Deep practical experience with LLMs (prompt engineering, fine-tuning, model selection, and understanding trade-offs across providers and model families). • Hands-on experience building Autonomous Agent architectures (e.g., LangGraph, multi-agent workflows, tool-calling, and state machines) and implementing rigorous evaluation frameworks (Evals, LLM-as-a-judge, benchmark suites). • Knowledge of programming languages that are used in AI research, such as Python, and experience with AI frameworks (e.g., Hugging Face, LangChain, OpenAI, scikit-learn, TensorFlow, PyTorch) with the ability to deliver production-ready code. • An M.S. or Ph.D. degree in computer science, statistics, or related field OR equivalent work experience. Preferred Qualifications • Experience in cybersecurity (cloud security, threat detection, investigation, or network telemetry). • Experience with distributed cloud systems and hands-on familiarity with cloud-native architectures at scale. • Strong knowledge of deep learning models and common model architecture such as transformer models. • Excellent communication (both written and verbal) and presentation skills. • Ability to work independently in a fast-paced environment and come up with creative solutions to challenging problems. About The Job We’re looking for an Applied Data Scientist Expert to join us and spread the power of Wiz. As a Data Scientist you will be responsible for driving research and development of autonomous AI agents and LLM-powered systems at Wiz. You will work closely with cross-functional teams to explore, innovate, and implement AI-driven solutions to tackle emerging threats, examine cloud security features, and enhance the company’s security posture. Responsibilities • Lead applied research on AI agents and LLM-driven features in the Wiz platform - from autonomous threat investigation agents to AI-powered security operations workflows. Cover a range of features, from leveraging LLMs to enhance customer investigation experience to novel usage of AI for cloud security. • Collaborate with engineering teams to design, build, and maintain production pipelines. • Work closely with the Security Research and Product teams to define research goals. • Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments. • Stay abreast of cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions' accuracy, efficiency, and scalability. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. We’re looking for a Data Scientist to join our R&D department! Why is this role so important at Similarweb? Similarweb is a data-focused company, and our unique AI and machine learning capabilities are the center of our business. As part of this role, you will create data models that help analyze the petabytes of data we receive from various sources, and research and develop new features and capabilities for our product solutions As a data scientist in Similarweb, you will work on the very core of the company. Part of your role will be to turn raw data into usable metrics and develop new models and statistical algorithms to support out-of-the box requests from customers who want custom digital insights. So, what will you be doing all day? Your daily responsibilities may include: • Working on versatile use cases within a dynamic, fast paced production environment • Strategic thinking and problem solving, with a strong business sense • Analyzing data from various sources, and turning it into usable input • Understanding various use cases from different customers, and creating models that can translate these cases into meaningful insights • Initiating newly defined tasks from exploration to proof of concept • Owning the finalization of defined tasks (from POC to deployment in production) • Collaborating with data engineers to make sure we reach the desired production results • Owning the ongoing validation process for existing metrics • Collaborating and brainstorming best practices with other teams within the R&D department • Deploying machine-learning models into production for an ongoing use This is the perfect job for someone who: • Holds a M.Sc in Computer Science/Mathematics/Physics or any other relevant field - Required • Has 3+ years of experience with statistical and machine learning tools - Python, R, etc. • Strong communicative and verbal abilities to lead and guide customers through the logic of custom-built models • Has previous experience developing machine learning/ image processing/NLP or similar algorithms • Demonstrated experience utilizing probability theory and statistics • Experience with Big Data tools and cloud infrastructure; PySpark, AWS (big advantage) • Strong analytical skills; experience analyzing and processing tabular data, and extracting insights (big advantage) Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online. Our unique data and solutions empower thousands of customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical, and good people. A day-to-day role as a Team Manager at Similarweb includes: • Managing a multidisciplinary team of data engineers, data scientists, and data analysts. • Leading the development of advanced and creative solutions for complex technical challenges in areas like big data and machine learning. • Collaborating closely with data extraction, platform, and product teams. • Communicating with business stakeholders and gathering feedback from customers. • Hiring new team members and developing the group’s structure. • Playing a crucial role in shaping product strategy within a startup-like environment. Day-to-day, the team you will lead will: • Develop statistical and machine learning algorithms on large-scale data to estimate metrics, create features, and deliver insights. • Own end-to-end data processes and pipelines, from research and proof of concept to production. • Collaborate with product and R&D teams to plan and deliver best-in-class digital insights. • Design, validate, and monitor ongoing processes to ensure quality and reliability. • Identify, analyze, and monitor new raw data sources as needed. Ideal candidate profile: • Passionate about data and problem-solving. • Holds an M.Sc. or Ph.D. in Computer Science, Mathematics, Physics, Engineering, or a related field. • Has 3+ years of experience developing machine learning and statistical algorithms in a production environment. • Brings 1+ years of people management experience - Must • Strong experience with Big Data and ML production pipelines (a strong advantage). • Familiarity with the web, internet, app, or online industry (an advantage). • Excellent interpersonal communication skills. About the R&D team As part of our R&D team at Similarweb, you'll have the opportunity to work on challenging algorithmic problems with no play book solution, solve problems for real customers, and work alongside the best engineers and scientists in the industry. Why you’ll love being a Similarwebber: You’ll actually love the product you work with: Our customers aren’t our only raving fans. When we asked our employees why they chose to come work at Similarweb, 99% of them said “the product.” Imagine how exciting your job is when you get to work with the most powerful digital intelligence platform in the world. You’ll find a home for your big ideas: We encourage an open dialogue and empower employees to bring their ideas to the table. You’ll find the resources you need to take initiative and create meaningful change within the organization. We offer competitive perks & benefits: We take your well-being seriously, and offer competitive compensation packages to all employees. We also put a strong emphasis on community, with regular team outings and happy hours. You can grow your career in any direction you choose: Interested in becoming a VP or want to transition into a different department? Whether it’s Career Week, personalized coaching, or our ongoing learning solutions, you’ll find all the tools and opportunities you need to develop your career right here. Diversity isn’t just a buzzword: People want to work in a place where they can be themselves. We strive to create a workplace that is reflective of the communities we serve, where everyone is empowered to bring their full, authentic selves to work. We are committed to inclusivity across race, gender, ethnicity, culture, sexual orientation, age, religion, spirituality, identity and experience. We believe our culture of equality and mutual respect also helps us better understand and serve our customers in a world that is becoming more global, more diverse, and more digital every day. LI-SS #LI-Hybrid We will handle your application and information related to your application in accordance with the Applicant Privacy Policy available here.

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological innovation. JFrog is a special place with a unique combination of brilliance, spirit, and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production – a concept we call “liquid software”. Wouldn't it be amazing if you could join us on our journey? We're looking for an experienced Data Scientist to join our DS team under the CIO office. The key responsibilities are to provide our internal business partners with robust, reliable, and innovative AI / ML / DS solutions for their business problems, providing direct value to the business. An ideal candidate blends solid data science foundations, proven backend engineering skills, and a demonstrated track record building real-world systems. You should be able to take an idea (or propose one) and independently work from POC to production MVP, know when to move fast and when to slow down, while continuously communicating with stakeholders as their trusted partner, and enjoy collaborating with members of the team. As a Data Scientist at JFrog you will... • Listen to our business stakeholders and their challenges and propose data-driven solutions to problems using ML models and advanced statistical methods. For example, a classifier for a rare event that will trigger business action, or a time series predictor in a noisy environment that will affect business planning. • Work side-by-side with business units to gather requirements, collaborate with cross-functional teams, iterate on the process of data research, and deliver to production. • Own ML models full lifecycle and monitor existing models, while continuously improving our automation pipeline from a DS perspective. • Rapidly prototype new ideas (e.g., custom RAG-based solutions, Agentic processes, knowledge graphs) based on applied research or academic concepts, and if successful, productionize. • Be a primary contributor for the semantic engine component of the organizational brain platform and be able to serve as a technical authority in that domain. • Look for improvement and innovation opportunities with business impact, and be a source of high-quality ideas. • Be an independent contributor with excellent communication skills, both in writing and verbally. To be a Data Scientist at JFrog you need… • MSc. in computer science or equivalent quantitative field (e.g., Mathematics, Statistics, Engineering, Economics), with a focus on Machine Learning. • At least 5 years of proven industry experience in DS/ML roles, with a proven record of developing ML models from initiation to production. • Strong foundations in data science and machine learning, including how to evaluate model outputs & performances. • Ability to think scientifically and investigate problems using messy, ambiguous, or incomplete data and communicate results clearly and efficiently. • Proficient hands-on experience with the Python ML/DL ecosystem. • Hands-on experience in implementing and evaluating custom RAG systems with a deep understanding of how they work, how to evaluate their performance, and how to improve them. • Ability to serve as a technical expert for RAG and complex agentic workflows such as deep research and wide search (almost complete recall, high precision, high scale, low latency, low cost). • Proficient hands-on experience with databases. • Experience in Time-Series forecasting. • Proven ability to work independently; delivery-oriented. • Team player with effective interpersonal skills. Manage relationships with key partners across different functions. Able to collaborate with remote teams effectively. • Excellent spoken and written English. •

Job Description Armis from ServiceNow, protects the entire attack surface and manages an organization’s cyber risk exposure in real time. Combined with ServiceNow’s Security and Risk capabilities, as well as Identity Security capabilities from Veza, we bring together all critical capabilities to secure every asset, every identity - incl. AI Agents - across all environments with the right level of context - security, operational and business - to build the first of its kind autonomous defense platform for the Agentic Enterprise. As an AI-driven cybersecurity company, Machine Learning and Generative AI power the core capabilities that make Armis an industry leader. Our algorithms are the engine behind our advanced Vulnerability Management, Detection, and Remediation (VMDR) platform. We are looking for a Staff Data Scientist with strong Machine Learning foundations and practical enterprise experience to join the VMDR team. In this role, you will act as a technical builder owning complex problem domains end-to-end, diving deep into cybersecurity nuances, and architecting cutting-edge LLM and ML solutions from initial research all the way to scalable production deployment. What You’ll Do • End-to-End Ownership: Drive complex AI and ML initiatives through the full product lifecycle from early-stage prototyping and deep domain analysis to production-grade deployment and monitoring. • Architect & Deploy: Design and build production-ready AI models and system pipelines in Python using modern cloud and big data infrastructure (AWS, Spark). • LLM Innovation: Integrate state-of-the-art Generative AI and LLM workflows directly into our core VMDR features to drive automated detection, prioritization, and remediation insights. • Domain Deep-Dives: Partner closely with domain researchers, data engineers, and product leaders to dive into granular cybersecurity data and translate complex security problems into high-impact AI solutions. Qualifications To be successful in this role you have: • Cybersecurity Background: Domain experience in cybersecurity (specifically Vulnerability Management, Asset Intelligence, or Threat Detection) is a big advantage, but not mandatory. • LLM Expertise: At least 2 years of hands-on experience working with Large Language Models (LLMs), including prompt engineering, fine-tuning, RAG, agentic workflows, and orchestration frameworks (e.g., LangChain, LlamaIndex, vLLM, or similar). • Solid ML Foundations: Deep algorithmic and theoretical knowledge in Machine Learning, supported by an Academic Degree (M.Sc. or Ph.D. preferred) or equivalent research experience. • Production Engineering Skills: 5+ years of software development experience, with strong, production-grade Python coding abilities and experience deploying ML systems at scale. • Self-Driven & Collaborative: An autodidact who naturally takes full ownership of problem domains, stays ahead of emerging AI trends, and thrives in a high-trust, collaborative team environment. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.