Data Scientist jobs in Israel

BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com. BioCatch is looking for a Data Scientist to join our team. The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives. Responsibilities: Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud. Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment. Perform exploratory data analysis and data visualization to gain insights and communicate findings. Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production. Implement advanced analytics tools and technologies to enhance reporting capabilities. Requirements • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. • Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience • Strong programming skills in Python and proficiency in SQL. • Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques. • Strong communication and collaboration skills to work effectively in a team environment. • Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role The Group Lead is a critical leadership position within Pagaya. This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is Pagaya’s largest product). This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership. Responsibilities • Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists. • Defining and executing overall strategy, ensuring alignment with the company’s financial goals and product roadmap. • Oversighting of the group's projects, initiating new ideas and proactively improving the company’s abilities. • Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team. • Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability. • Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability. • Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions. • Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments. • Guiding the development, validation, and deployment of advanced predictive models to enhance performance. Requirements • 8+ years professional experience in Data Science or Data Analytics, preferably within FinTech. • Proven experience 5+ years managing and mentoring multidisciplinary teams of Data Scientists and Analysts in a fast-paced environment. • High-level understanding of statistical modeling, machine learning techniques, and optimization algorithms. • Master's degree or Ph.D. in a quantitative field such as Data Science, Statistics, Mathematics, Operations Research, or Computer Science. • Descent knowledge in programming languages (e.g., Python) and databases (SQL). Experience with cloud computing environments is a plus. • An authoritative leader who navigates high-stakes environments with strategic maturity and exceptional communication. Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role We are looking for a Senior Data Scientist to lead strategic research initiatives . This individual will be at the forefront of Pagaya’s research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department. Responsibilities • Spearhead strategic research of new cutting edge Machine Learning models • Mentor and advise data scientists. • Design solutions for the company’s core mission using Data Science methodologies from various domains • Work in a short life-cycle research and development environment • Generate and test working hypotheses in unexplored territory Requirements • 5+ years of experience in Machine Learning, working with tabular data on predictive modeling • Track record of translating research into business impact • MSc or PhD in a related field- Math/EE/CS/Physics/Stats • Great interpersonal skills, and strong collaborator • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Proficient in Python and the Data Science Stack • Independent and fast learner that can work alone and in teams • Ability to learn and explore new fields of expertise • Knowledge in some of the following can be an advantage: optimization, risk and finance Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

About Pagaya Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com. About the Role We are looking for a Lead Data Scientist to lead strategic research initiatives. This individual will be at the forefront of Pagaya’s research, working hands-on to advance our models while also mentoring and collaborating with data scientists across the department. Responsibilities • Spearhead strategic research of new cutting edge Machine Learning models • Mentor and advise data scientists in the Auto loans research team as well as across the research department • Design solutions for the company’s core mission using Data Science methodologies from various domains • Work in a short life-cycle research and development environment • Generate and test working hypotheses in unexplored territory Requirements • 8+ years of experience in Machine Learning, working with tabular data on predictive modeling • Track record of translating research into business impact • MSc in a related field- Math/EE/CS/Physics/Stats • Great interpersonal skills, and strong collaborator • Good applied statistics skills, such as distributions, statistical testing, regression, etc. • Proficient in Python and the Data Science Stack • Independent and fast learner that can work alone and in teams • Knowledge in some of the following can be an advantage: optimization, risk and finance Our Team Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv. We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community. Join a team of builders who are working every day to enable better outcomes for our partners and their customers. Our Values Our values are at the heart of everything we do. We believe great solutions are built through a great community. • Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors. • Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team. • Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners. • Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together. • Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy. More than just a job We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs. https://pagaya.com/privacy-policy

Description Lumenis is a global leader in energy-based solutions for Aesthetics and Eye Care. Headquartered in Yokneam, Israel, with offices in Tel Aviv, Lumenis has a strong global presence and business performance worldwide. We are looking for a Data Insights & Analytics Manager who will develop a deep understanding of data generated by Lumenis' global installed base of connected medical devices, combine it with enterprise data, and translate it into insights and tools that create value for our customers and the business. The role goes beyond reporting and dashboard creation. We are looking for someone who is naturally curious, proactively explores data, identifies patterns and opportunities, and drives the organization to act on what the data reveals. Importantly, the role is expected to uncover broader customer, commercial, and business insights by connecting IoT data with enterprise and other relevant data sources - not only insights derived from device data itself. Main Duties: This is a highly hands-on analytics role at the intersection of data, technology and business, requiring both strong analytical capabilities and a product mindset. Data Foundation & BI • Develop a deep understanding of Lumenis’ IoT data ecosystem, including device events, data structures, business logic, and KPIs. • Work hands-on with data across AWS and enterprise systems. • Partner with BI to define requirements, maintain trusted metrics and models, and improve data quality and usability. • Independently build, maintain, and enhance dashboards and analytics solutions in Amazon QuickSight. Analytics & Insights • You will be expected not only to answer business questions with data, but to identify the questions we should be asking. • Proactively explore complex IoT and business datasets to uncover meaningful trends, patterns, anomalies, and opportunities. • Translate complex data into clear, actionable insights and proactively bring relevant findings to the business. Business & Commercial Analytics • Partner with commercial teams to improve customer engagement, strengthen sales narratives, and develop data-driven tools. • Create compelling, evidence-based data stories for internal and external audiences. • Measure the impact of data-driven initiatives and refine them based on results. Data Activation & Adoption • Drive adoption of analytics tools and data-driven practices across the organization. • Train business users to interpret and apply data effectively. • Proactively communicate relevant insights rather than relying solely on self-service dashboards. • Continuously identify new ways data can create value for customers and the business. Key Interfaces • BI; Sales and Commercial Excellence; Marketing; Service; Product; Finance and Operations; and regional business teams. Requirements • Significant experience in BI, business analytics, data analytics, or a similar role. • Strong SQL skills and hands-on experience with BI platforms such as QuickSight, Power BI, or Qlik. • Ability to independently explore complex datasets and understand data structures, business logic, and KPI definitions. • Strong analytical curiosity, business acumen, and a track record of translating insights into commercial opportunities and actions. • Excellent data visualization, storytelling, communication, and stakeholder-management skills. • A proactive, independent approach, with the ability to drive adoption and influence without formal authority. • Additional advantages include experience with: • IoT, connected-device, or product-usage data. • AWS, S3, Salesforce, SAP, or Python. • Medical devices, healthcare, SaaS, or another connected installed-base business. • Customer-engagement or commercial analytics in a global organization.

Description We're looking for a curious and motivated Data Scientist to join our Data & AI team and become the company's future in-house expert on our AI platforms and solutions. Reporting to the Tech Lead, Data & AI, you'll work closely with external development teams, gain deep understanding of the system architecture, support data analysis and model evaluation, and help maintain and improve production solutions over time. Requirements • 1-3 years of experience in Data Science, AI, Software Engineering, or a related field. • Strong Python and data analysis skills. • Fast learner with strong analytical thinking and a desire to grow. • Relevant degree in Computer Science, Engineering, Mathematics, or similar. • Fluent English. Advantage • Experience with LLMs, NLP, Search, or open-source AI models. • Background in defense or intelligence environments. • Active security clearance. This is an excellent opportunity for an early-career professional to learn complex AI systems end-to-end, work alongside experienced experts, and quickly grow into a key technical contributor.

About the Role We’re seeking a high-caliber Senior Data Scientist to lead data science initiatives on the Document, Accounting, Takeoffs and Pro Commerce tracks, which are mission-critical aspects of a pro’s project lifecycle. Our mission is to be the thought partners of the Houzz Pro software product team by providing data driven insights to guide product development and business direction. You will work closely with PMs, Engineering, Design and sometimes senior leaders in this role. What You’ll Do • Be the thought partner of the PMs leading the document, accounting, takeoffs and pro commerce tracks to define key metrics, measure and derive insights on how professionals use these features and drive conversations to shape growth oriented product strategies and optimize product roadmap • Lead complex data science initiatives, including sophisticated analyses, independently own the design, running, and analysis A/B tests and other causal inference methods, apply machine learning methods where appropriate and drive adoption of recommendations across teams so we can deliver the best end-to-end document journey, accounting experience, etc. • Dig into large, complex datasets to uncover what drives value for professionals, and translate your findings into clear narratives and dashboards for stakeholders at every level • Work with data engineering to improve data pipelines, instrumentation, and data quality so the team can move fast with confidence • Use AI tools to speed up your own work, from exploratory analysis and code generation to automating recurring reporting, as well as innovative DS projects to uncover new opportunities • Work effectively in areas of significant ambiguity, framing hypotheses, defining success metrics, and leading the implementation of solutions to complex, open-ended problems with minimum guidance, and effectively communicate results to the entire organization including senior leaders • Provide technical guidance to junior team members and foster a culture of continuous learning At a Minimum, We’d Like You to Have • A B.A./B.S. degree in technical/quantitative disciplines or equivalent practical experience • 5+ years experience with analytics, preferably with a SaaS business • Strong proficiency in SQL and Python • A solid foundation in statistics and experimentation, including A/B test design, causal inference, and knowing when a result is truly meaningful • An ability to work independently, run their own projects, host stakeholder meetings, manage expectations of senior leaders and do what is needed to complete the projects with minimal supervision • Strong communication, presentation and interpersonal skills at senior leadership levels • Practical experience working with LLMs, such as calling model APIs, writing and iterating on prompts, or fine-tuning models for specific tasks • Excellent time management and prioritization skills to operate with high autonomy • A product mindset and genuine curiosity about how small businesses and home professionals work • Experience using Tableau Ideally, You'll Also Have • Advanced degree in a technical field such as Statistics, Operations Research or Engineering • Baseline understanding of US business accounting workflows or ERP integrations like QuickBooks; familiar with the home construction, remodeling, or trade business operations such as the concepts of estimating, invoicing, etc. • Familiarity with evaluating generative AI systems, including approaches for measuring output quality, detecting hallucinations, and using LLMs as evaluators Houzz is an Equal Employment Opportunity employer. When applying for a role at Houzz, we guarantee your application will be considered regardless of your sex; race; color; gender; national origin; height or weight; ancestry; physical or mental disability; medical condition; genetic information; marital status; registered domestic partner status; age; sexual orientation; military and veteran status; or any other basis protected by federal, state or local law or ordinance or regulation. We embrace and celebrate the value that diversity brings to an organization. Diverse backgrounds and different points of view help Houzz provide the best experience for our community. Houzz is committed to fostering an inclusive environment through projects and initiatives, such as employee resource groups, that support Houzzers’ efforts to be themselves and share their lives at work. If you would like assistance or an accommodation due to a disability, please email us at [email protected]. This information will be treated as confidential and used only for determining an appropriate accommodation for the interview process. Houzz is an Equal Opportunity Employer. M/F/Disability/Veterans __________________ Be Who You Are and Do What You Love at Houzz About Houzz When founders Adi and Alon remodeled their home, they were frustrated by the lack of resources and inspiration to help them articulate a vision and select the right pro to make it a reality. So they built Houzz. Houzz is now the leading platform for home remodeling and design, providing an all-in-one software solution for industry professionals and tools for homeowners to update their homes from start to finish. Using Houzz, people can find ideas and inspiration, hire professionals, and shop for products. Houzz Pro (houzz.com/pro) provides home industry professionals with a business management and marketing SaaS solution that helps them to win projects, collaborate with clients and teams, and run their business efficiently and profitably. Our Mission and Core Values We're proud to say there's no one quite like us. Houzz is a community-centric, innovative tech company that continues to disrupt the home renovation and design industry. Our mission-driven culture is rooted in our core values, and we’re all here for one purpose: make the home remodeling and design process more fun and productive for everyone. Our Mission To create the best experience for home renovation and design. Our Core Values We’re a Community We put our community of Houzzers, industry professionals and homeowners first. We approach our work with care, humility and respect. We deliver value to our community through our products and services. We Build the Future We are visionaries who challenge the status quo. We are creative, innovative and curious. We embrace change and different ideas to drive our industry forward. We Make Things Happen We are solution-seekers and self-starters. We listen, move fast and empower our teams to deliver extraordinary results and products. We play to win. By applying for a job with us, you acknowledge and agree to the terms of our Job Applicant Privacy Notice. #LI-Remote

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 Model group (LMM) is looking for a Director of Data Science to lead its production engineering, overseeing MLOps, ML engineering and Data engineering. The Director owns the end to end ML lifecycle of the market model, from the data pipelines that feed it, through model training and serving, and on to the monitoring that keeps it healthy once it is live in customer systems. Crucially, the Director is responsible for setting the roadmap across these functions, alongside LMM management and senior executives, and for turning it into work each function can execute. We are looking for a manager who has led high paced, AI first groups, and who has carried deliveries for systems running live in front of customers. RESPONSIBILITIES • Decide priorities across the functions with their leads, and review the technical trade-offs yourself. • Manage the leads who run these functions and hold each of them to what their team has committed to. • Stay close to production. Own delivery dates, reliability, and what happens when something breaks. • Own the infrastructure for model training, serving, and large scale data processing, including its cost. • Decide which numbers (KPIs) the group is measured on, then track them and report them. • Report the group's progress and risks to senior management, to product, and to the commercial teams. • Work with the applied research team to move their results into production. • Hire and keep senior engineers, and decide how the group is staffed. • Set the engineering standards the group works to: CI/CD, automated testing, observability, and model monitoring. Requirements You'll be a great fit if you have: • 8+ years in engineering, with 5+ years leading teams and managers. • Worked in a multi group environment, leading projects that involve inter group dependencies • Production experience with time series forecasting, reinforcement learning, or large scale optimization. • Experience setting the direction for a machine learning or data engineering group • Enough depth in production ML systems to review architecture decisions with your senior engineers. • Experience holding managers to delivery dates and to the numbers their teams are measured on. • Hands-on familiarity with Python, PyTorch, Google Cloud Platform (GCP), and orchestration frameworks such as Dask and Dagster. • A Bachelor's degree in Computer Science, Engineering, Mathematics, or a relevant field. • The ability to explain a technical decision to a commercial audience, and a commercial constraint to your engineers. NICE TO HAVE • An MSc or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a relevant field. • Experience taking a machine learning platform from an early prototype to something a business runs on. • Experience in airlines, travel, revenue management, or dynamic pricing. • Familiarity with real time inference and high volume data processing. If you want to run the engineering group behind models that set real prices in real markets, we'd like to hear from you.

Description Fetcherr builds responsible AI that turns market complexity into measurable profit growth. At its core is the Market Model, a proprietary AI model that delivers granular demand predictions 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 Fetcherr delivers a consistent average profit uplift of 7%. Fetcherr Labs is a new unit that takes this engine to mid-size companies, run by agents and delivered inside the tools customers already use, such as Excel and Copilot. Labs is small, flat and senior, and builds with AI agents from day one. You will work directly with the Market Model Lead and report to the Chief of Labs. The role We are looking for a Demand Modeling Scientist who owns demand models end to end: from a new customer's raw history to a model running in production, measured against real outcomes. You will teach the engine how demand behaves in new industries, starting with aftermarket parts, and prove the uplift through live A/B tests with our design partners. What you'll do • Develop and implement state-of-the-art econometric and machine learning models for demand forecasting. • Own the full machine learning lifecycle: data exploration, feature engineering, training, validation, deployment, monitoring, retraining and retirement. • Conduct research and experimentation to improve accuracy, robustness and scalability, and adapt models to new industries and customer data. • Design how models are measured in production, including A/B tests that show the uplift for each customer. • Build with AI coding agents as your everyday way of working: agents write and test much of the code, and you design, review and decide. • Work with data and platform engineers to put models into production on Azure, and keep them explainable and reliable. • Explain complex findings clearly to non-technical stakeholders, including customers and executives. Requirements What you bring • 5+ years of hands-on experience in data science and machine learning, with a proven record of turning models into business outcomes. • Proven experience taking models through the full lifecycle into production: versioning, testing, reproducibility, deployment, monitoring and retraining. • Expertise in time-series forecasting, ideally deep-learning based, preferably in demand prediction or related areas. • Feature engineering, feature importance testing and explainability experience. • Proficiency in Python and its ML and data stack (PyTorch or TensorFlow, Pandas or Polars, NumPy, Scikit-learn, SQL). • Hands-on use of AI coding agents (such as Claude Code or GitHub Copilot) in your daily development, and a strong view on where they help and where they don't. • Master's or PhD in Computer Science, Machine Learning, Statistics, Engineering or a related field. • Excellent communication and collaboration skills. Nice to have • Experience with pricing, revenue management, retail or B2B distribution. • Experience with experimentation and causal measurement (A/B testing, uplift). • Experience with cloud ML platforms (Azure ML or Microsoft Fabric preferred; GCP or AWS also relevant). • Familiarity with workflow orchestration in general (any modern orchestrator). • Publications in top-tier peer-reviewed ML venues (ICLR, ICML, NeurIPS) or strong results in data science competitions. If you want to own demand models end to end, build with agents, and bring a proven AI engine to a whole new market, we'd love to hear from you.

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're looking for a Data Scientist to help us grow our advanced analytics team's capabilities. The ideal candidate is a data scientist with a relevant experience who is self-driven, motivated, independent and sharp • Design and operationalize causal-uplift measurement frameworks to quantify the incremental impact of pricing models • Lead data discovery and translate complex multidimensional data into actionable insights related to the pricing algorithms and their outcomes • Conduct research and experimentation to elaborate novel approaches to uplift measuring and a/b testing • Collaborate with revenue managers, data analysts, data engineers in order to encode airline business logic into modeling and technical pipelines At Fetcherr, the Insights & Decision Science (IDS) team is where data meets storytelling. We take the hard work of our AI pricing engine and translate it into something airlines can actually see, trust, and act on — think rigorous statistical analysis with a human touch. If a number moves, we explain why. If a client has a question, we have the answer (and the chart to back it up). Requirements * You have at least 5 years of hands-on data analytics & science experience with proven record of leveraging modeling into business insights * You are proficient in Python (typical data analytics and machine learning stack: pandas, numpy, scikit, statsmodels) * You know to assess the performance and impact of the ML-powered system from business environments perspective * You have great communication and storytelling skills to both technical and non-technical audiences (ability to present to C level stakeholders executives as well) *You are experienced in translating complex client requirements into actionable insights, and ability to present findings and strategies to stakeholders *You are able to provide and recommend innovative solutions and approaches to non-trivial challenges *You’re a team player, ready to help others meeting aggressive timelines and motivate the team to meet the product deadlines *B.SC or Master’s degree in Economy / Statistics / Math or similar (Phd is a plus) You are proficient in using SQL (BigQuery / Dataform / GCP experience is a plus) and git Great if you have them: • Domain knowledge in following industries: airlines, transportation, logistics or vacations • Experience with causal inference, uplift modeling, anomaly detection or pricing algorithms • Knowledge in mathematical optimization

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 Model group (LMM) is looking for a Director of Data Science to lead its production engineering, overseeing MLOps, ML engineering and Data engineering. The Director owns the end to end ML lifecycle of the market model, from the data pipelines that feed it, through model training and serving, and on to the monitoring that keeps it healthy once it is live in customer systems. Crucially, the Director is responsible for setting the roadmap across these functions, alongside LMM management and senior executives, and for turning it into work each function can execute. We are looking for a manager who has led high paced, AI first groups, and who has carried deliveries for systems running live in front of customers. RESPONSIBILITIES • Decide priorities across the functions with their leads, and review the technical trade-offs yourself. • Manage the leads who run these functions and hold each of them to what their team has committed to. • Stay close to production. Own delivery dates, reliability, and what happens when something breaks. • Own the infrastructure for model training, serving, and large scale data processing, including its cost. • Decide which numbers (KPIs) the group is measured on, then track them and report them. • Report the group's progress and risks to senior management, to product, and to the commercial teams. • Work with the applied research team to move their results into production. • Hire and keep senior engineers, and decide how the group is staffed. • Set the engineering standards the group works to: CI/CD, automated testing, observability, and model monitoring. Requirements You'll be a great fit if you have: • 8+ years in engineering, with 5+ years leading teams and managers. • Worked in a multi group environment, leading projects that involve inter group dependencies • Production experience with time series forecasting, reinforcement learning, or large scale optimization. • Experience setting the direction for a machine learning or data engineering group • Enough depth in production ML systems to review architecture decisions with your senior engineers. • Experience holding managers to delivery dates and to the numbers their teams are measured on. • Hands-on familiarity with Python, PyTorch, Google Cloud Platform (GCP), and orchestration frameworks such as Dask and Dagster. • A Bachelor's degree in Computer Science, Engineering, Mathematics, or a relevant field. • The ability to explain a technical decision to a commercial audience, and a commercial constraint to your engineers. NICE TO HAVE • An MSc or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a relevant field. • Experience taking a machine learning platform from an early prototype to something a business runs on. • Experience in airlines, travel, revenue management, or dynamic pricing. • Familiarity with real time inference and high volume data processing. If you want to run the engineering group behind models that set real prices in real markets, we'd like to hear from you.

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.

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].

Description About AllCloud AllCloud is a leader in amplifying organizations’ cloud potential through AI. With a track record of hundreds of successful migrations and implementations across AWS and Salesforce, AllCloud has developed strategies and solutions that enable businesses of all sizes to remain at the forefront of innovation. AllCloud is a leader in AI-led professional and managed services. As an AWS Premier and audited managed services Partner, and Salesforce Consulting partner, AllCloud provides comprehensive AI-led cloud journey support, from initial migration to ongoing management through our Engage Managed Services. Our expertise ensures that clients remain aligned with ecosystem best practices while focusing on their core business growth. AllCloud serves clients across the globe with offices in EMEA and North America. www.allcloud.io About the Role We are seeking a visionary and hands-on AI and Data Science Team Lead to head our advanced analytics and AI engineering group. Over the past 7 years, our data infrastructure and customer needs have evolved from foundational data engineering and cloud migrations to cutting-edge Generative AI and Machine Learning solutions. You will lead a high-performing team of AI Engineers and Data Scientists, taking ownership of the technical direction, architecture, and deployment of production-grade AI systems on AWS. The ideal candidate combines a solid foundational background in complex data architecture with state-of-the-art expertise in Gen AI, RAG pipelines, graph-based reasoning, and Enterprise MLOps. You will work closely with enterprise customers across various sectors (manufacturing, banking, healthcare, and high-tech) to translate business constraints into scalable architectures and ship systems that deliver measurable business impact. Responsibilities • Team Leadership: Recruit, mentor, and manage a team of Data Scientists and AI Engineers, driving engineering excellence, technical direction, and best practices. • System Architecture & Gen AI: Design and deploy end-to-end AI systems, including large-scale Retrieval-Augmented Generation (RAG) pipelines for technical documentation, Text-to-SQL GenBI agents, and advanced AI document processing systems (OCR, semantic extraction). • Enterprise MLOps: Design and deliver secure, enterprise-grade MLOps platforms on AWS (including CI/CD pipelines, feature stores, and monitoring) to dramatically reduce model deployment times. • Advanced Data Modeling: Utilize graph embeddings (e.g., Neo4j) and build graph-based AI agents to uncover hidden behavioral patterns, improving LLM reasoning while optimizing token costs and latency. • Customer & Stakeholder Collaboration: Work directly with enterprise customers to understand business constraints, define architectural standards, and implement governance guardrails and validation layers for safe enterprise adoption and data protection. • Hands-On Execution: Operate dynamically in both startup and enterprise contexts, balancing the need to ship value quickly with maintaining strict production rigor. Requirements • Experience: 7+ years of proven experience designing, deploying, and managing production-grade Machine Learning and AI systems (with a strong foundation in data engineering and scalable pipelines). • Leadership: Demonstrated experience leading, managing, and mentoring data science or AI engineering teams. • Cloud & Infrastructure: Deep architectural expertise in the Amazon Web Services (AWS) ecosystem, with a track record of deploying large-scale solutions. Experience defining architectural standards to achieve milestones like the AWS ML Competency is a significant advantage. • Gen AI & Search: Extensive hands-on experience with Large Language Models (LLMs), deep learning frameworks, domain-specific prompting, and vector search/Elasticsearch. • Graph Technologies: Strong background in modeling complex data structures using Graph Databases (e.g., Neo4j) to build scalable pipelines for high-volume data. • Education: M.S. (or equivalent) in Engineering, Mathematics, Computer Science, or a related quantitative field. • Communication: Excellent interpersonal skills with the ability to lead customer-facing engagements and translate complex technical concepts into business value. • Fluent in Hebrew and English AllCloud is an Equal Opportunity Employer and considers applicants for employment without regard to race, color, religion, sex, orientation, national origin, age, disability, genetics, or any other basis forbidden under federal, provincial, or local law.

Description Upstream delivers a cloud-based, AI-powered behavioral intelligence platform for physical AI and smart mobility. Upstream empowers customers with advanced AI-driven cybersecurity solutions, including detection and response (XDR), AI Security, quality and operational intelligence, cyber threat intel, SOC services, and more. Upstream is looking for an experienced Senior Data Scientist to join our rapidly growing data science team, focusing on creating prediction and anomaly detection models. As a Senior Data Scientist, you will lead the analysis of large (often massive) datasets, develop models and algorithms to meet customer needs, and work closely with other data scientists and data engineers to improve our automotive purpose-built data management platform, focusing on cybersecurity, API security, and vehicle quality use cases. This role is full-time and is Herzliya, Israel based. Responsibilities • Conduct in-depth research on large and diverse automotive live streaming tabular datasets • Explore, design and deploy cutting-edge models or algorithms solutions for prediction purposes and anomaly detection • Collaborate closely with domain experts and peers to research and implement models and algorithm flows that best fit requirements • Partner with the data engineering and development teams to devise innovative solutions for productization • Encourage collaboration and knowledge-sharing within the data science team Requirements • 5+ years of relevant industry experience in data science or machine learning • Education: MSc in Math / EE / CS / Statistics • Demonstrated research expertise in the tech industry or published academic papers • Profound understanding and hands-on expertise in mathematics, statistics, machine/deep learning, and data mining • Expertise in data science pipelines is essential, including data cleansing, feature engineering, and model tuning • Coding and software engineering experience focusing on advanced proficiency in Python, especially in data science libraries such as Pandas, Polars, NumPy, SciPy, Scikit-learn, and others • End-to-end experience in leading the development of AI/DS/ML products or features • Demonstrated experience in implementing algorithms/models in a production environment, whether in batch processing or real-time scenarios • Proficiency in SQL Experience in deep learning, utilizing platforms such as TensorFlow, Keras, PyTorch, etc. - Advantage • Strong communication skills, with the ability to convey ideas and share knowledge effectively • Independent and quick learner, capable of developing independently • A valuable team player who cooperates well • Experience thriving in a dynamic work environment Upstream is an equal opportunity employer. All candidates for employment will be considered without regard to race, color, religion, sex, national origin, physical or mental disability, veteran status, or any other basis protected by applicable federal, state or local law.

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.

Description Alice is a leading platform for Trust & Safety teams worldwide, combining cutting-edge AI with world-class expertise to protect users from the widest spectrum of online harms and keep customers two steps ahead of bad actors. We are looking for a Senior GenAI Data Scientist with strong hands-on experience in GenAI red teaming, adversarial testing, machine learning, and large-scale data analysis. You will develop the data science and ML capabilities behind an automated GenAI red-teaming platform. You will analyze and cluster adversarial prompts, identify emerging attack patterns, build models for automated prompt generation and mutation, and develop data-driven methods for prioritizing and evaluating security risks across different AI models. We are looking for a hands-on technologist with deep expertise in data science: clustering, scaling, machine learning, and statistical analysis. Key Responsibilities • Build agents that act as data scientists at scale, reasoning, planning, and executing multi-step workflows to generate and analyze adversarial attacks. • Manage and analyze prompt and response data from multiple sources (red-team campaigns, model evaluations, synthetic attacks); clean, curate, normalize, and label it for analysis. • Analyze large volumes of structured and unstructured data to uncover trends, clusters, and anomalies, such as attack families, jailbreak techniques, and previously unseen patterns. • Develop ML models and predictive algorithms to automate red-teaming. • Build evaluation and monitoring pipelines to measure attack success and track model behavior across models and providers. • Use statistical techniques and experiments to validate findings and ensure accuracy and reproducibility. • Take research to production: build reliable, scalable systems optimized for cost and latency, with solid engineering practices (testing, CI/CD, telemetry). Requirements Must-Have • M.Sc. in CS/EE/Math/Statistics or a related field; Ph.D. is an advantage. • 5+ years of hands-on data science or ML experience, programming in Python or R, and SQL. • 3+ years of experience with Scikit-Learn and PyTorch. • Hands-on experience in GenAI red teaming, adversarial testing, or LLM security. • Hands-on experience building and deploying LLM-powered or ML systems in production. • Strong understanding of LLM design patterns, including prompt engineering, tool calling, structured outputs, and RAG. • Strong grasp of clustering, embeddings/NLP, semantic similarity, and anomaly/novelty detection. • Experience building classification, ranking, or prioritization systems. • Solid background in statistics, experimental design, and model evaluation. • Experience with Cradle, Apache Hadoop, and Spark, and with scaling ETL and data pipelines. Nice-to-Have • Experience building LLM agents or multi-agent workflows with frameworks such as LangGraph, LangChain, or OpenAI Agents SDK. • Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling. • Data visualization with Tableau, Power BI, or matplotlib. • Experience with AWS, including Lambda, S3, and EC2. • Experience running inference on GenAI models via Hugging Face, Bedrock, and Azure. • Background in Trust & Safety, security, or regulated environments. Alice is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world's largest enterprises every day. Through Real-Time Guardrails and continuous Red Teaming, backed by deep threat intelligence and coverage of 117+ languages, Alice helps AI, security, and policy teams build GenAI products that stay safe at global scale. About Alice Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact- whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection. Alice is widely considered a global leader in online safety and AI security. We have some of the most forward-thinking and passionate minds in the world working to safeguard over 3 billion users across the largest AI and tech platforms. If you're creative and driven to secure the future of AI, we want to hear from you!