Data Scientist jobs in Herzliya

Overview Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential—and excitement for the journey ahead.   As a Data Scientist Intern at Microsoft, you will combine applied AI, engineering, and scientific experimentation to build intelligent systems. Your work will focus on developing autonomous AI agents, evaluating large language models (LLMs), and automating research workflows. You will design experiments and apply statistical methods to assess and improve AI systems, accounting for the variability and uncertainty inherent in their non-deterministic behavior. Working with researchers, engineers, product teams, and other stakeholders, you will translate customer and business needs into practical solutions and measurable outcomes. You will combine analytical rigor with hands-on development to build prototypes and evaluation frameworks that improve the quality, reliability, and usefulness of AI-powered experiences. At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You’ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. Responsibilities • Develop and improve autonomous AI agents and research workflow automations using LLMs, relevant algorithms, and appropriate data sources. • Explore emerging AI techniques, propose new ideas, and build proofs of concept (POCs) to assess their feasibility, potential value, and limitations. • Design experiments and evaluation frameworks for LLMs and AI agents, applying statistical methods to measure quality and reliability while accounting for non-deterministic behavior. • Explore data, analyze experimental results, and investigate failure modes to identify opportunities, validate approaches, and iteratively improve AI systems. • Communicate findings, limitations, and technical trade-offs clearly, providing actionable insights that inform product and engineering decisions. • Collaborate with researchers, engineers, product teams, and other stakeholders to translate customer and business needs into opportunities to enhance products and customer experiences through applied AI. **This student position is structured as a one-and-a-half-year role, concluding upon completion of the academic degree. Qualifications • Currently pursuing a Master’s degree in Data Science related fields:, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field. • At least 3 additional semesters before graduation – graduation date Winter 2028 or later. • knowledge of or experience working with Large Language Models (LLMs), including areas such as fine-tuning, modeling, evaluation, frontier models, or specialized models. • Hands-on experience writing code in a production environment and working with code repositories (e.g., Git). Preferred Qualifications: • Currently pursuing a PhD in Data Science related fields: Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Overview The WSSI team is looking for a motivated Data Science Intern to contribute to production-oriented AI solutions across computer vision and efficient small language models, helping bring advanced models to Windows products under real-world edge-device constraints.The team’s primary focus is developing state-of-the-art computer vision solutions that can run efficiently under constraints such as model size, latency, power, and deployment efficiency. In this internship, you will work with applied scientists, engineers, MLOps specialists, and data experts to help turn applied research and prototypes into high-quality AI experiences that can create impact for millions of customers. Responsibilities • Contribute to research, training, experimentation, evaluation, and prototyping of AI models in computer vision, efficient small language models, or related applied AI areas. • Support the development of production-oriented AI solutions, with attention to model quality, reliability, scalability, and measurable customer impact. • Analyze model behavior and performance under real-world edge-device constraints, including latency, footprint, power, and resource usage. • Contribute to exploring model optimization techniques including compression and efficient inference to enable deployment in resource constrained environments. • Work with datasets, evaluation pipelines, and experiment tracking to generate clear insights and support data-driven decisions. • Collaborate closely with product, system engineering, software, and silicon teams, and clearly communicate findings, tradeoffs, and recommendations. Qualifications Required Qualifications: • Currently pursuing an M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Data Science, or a related technical field. • Hands-on experience with model development, evaluation, experimentation, and data analysis. • Practical Python development experience, including the use of modern AI-assisted coding tools. Preferred Qualifications: • Experience with computer vision systems, image/video processing, or AI models designed for real-world deployment. • Experience with model optimization, compression, quantization, distillation, efficient inference, or deployment on edge devices. • Experience working with data pipelines, model lifecycle workflows, MLOps concepts, or production AI infrastructure. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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.

Ambition Needs a Place to Grow. At Playtika, we create mobile games enjoyed by millions worldwide. Combining the scale of a public company (NASDAQ: PLTK) with the speed and ownership of a startup, we are a global leader where innovation, data, and creativity shape the future of entertainment. Here, your ideas matter, your decisions impact products, and your growth is supported across global studios. Bring your hunger where it belongs: at the front of the pack. Playtika is looking for a Principal Data Scientist to join the Data & AI Department and shape the scientific direction of our work across the player experience. This position is based in Herzliya, Israel. We are looking for people with exceptional soft skills and outstanding hard skills. We love to address complex intellectual challenges and make sense of high dimensional and dynamical data that impact the game experience of millions of players. You will join a multidisciplinary team with a variety of business use-cases and algorithmic approaches, and you will help shape its scientific direction. We use strong statistical fundamentals with SOTA algorithms and cutting-edge technologies to provide a better experience for our players. Our solutions translate directly to production (mostly as part of a product) and serve the business needs from different use-cases & multiple studios. The problems are varied and rigorous: understanding and predicting player behavior, optimization of game mechanics, causal inference and online experimentation, sequential decision-making with bandits and RL, and more. We care about what works in practice, not only what works on a benchmark. Responsibilities • Conduct full data driven research and solution development including problem definition, data collection and validation, model development, evaluation, and deployment • Set the technical direction and roadmap for data science across multiple studios and use-cases, and influence senior stakeholders on research priorities • Own and demonstrate the business impact of your solutions in a live production environment • Collaborate with cross-functional teams (business, engineers, BI, product) to develop, test, and deploy your models quickly and effectively • Drive and contribute to scientific papers, blogs, conferences, etc., representing Playtika in the wider data science community • Mentor and coach DS/MLE colleagues, including senior team members, and act as the lead DS Subject Matter Expert within the organization Qualifications • M.Sc. or Ph.D. in Computer Science, Mathematics, Statistics, Engineering or a related field • 8+ years of work experience, including a proven track record of leading complex data science initiatives end to end • Exceptional problem-solving and scientific reasoning skills, including knowing which problems are worth solving and which methods fit them • Deep theoretical and practical knowledge of machine learning, with recognized expertise in one or more areas (e.g., causal inference, LTV/churn prediction, experimentation, personalization) • Strong Python and SQL, and fluency with AI-assisted development tools (Cursor, Claude Code, etc.) that make you faster • Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical audiences (e.g., product managers, business domain experts, executives) • Ability to influence without authority and lead across teams • A team-player mindset Nice to have • RL background (e.g. multi-armed bandits) – strong advantage • Working experience of Git • Experience in the gaming industry We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Subject to applicable laws, we may use artificial intelligence (AI) tools to assist our recruitment teams in the hiring process, including drafting job descriptions, communication, response to applications, assessments and tests, as further described in our Candidates Privacy Notice. By applying to this job, you acknowledge that you have read and understood our Candidates Privacy Notice, including with respect to the use of AI tools, and consent to the processing of your information as described therein. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you feel the above describes you perfectly - Apply now! Employee at Playtika? Click here

AppsFlyer is a cutting-edge technology company that specializes in mobile attribution and marketing analytics. We run at a massive scale- t any given moment thousands of servers are consuming 150+ billion mobile app events, crunching our users’ data, serving requests and communicating on a massive scale. Fueled by the AppsFlyer platform, Protect360 is the leading anti-fraud solution in the market, protecting advertisers from fraudulent traffic and saving millions of dollars for our customers. We detect fraudulent traffic (fake installs and attribution hijacking attempts) in real time using machine learning, deep learning, and advanced AI techniques applied on massive data streams. We’re looking for a data scientist to join our team and further improve fraud detection capabilities. This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats. A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more What you'll do • Mine massive data sets to uncover fraud patterns and prevention opportunities. • Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity. • Translate business and product needs into scientific, explainable, and high-impact solutions. • Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production. • Collaborate closely with product, engineering, and business teams to drive data-driven decisions. • Stay current with AI and ML research and evaluate new technologies to strengthen Protect360’s algorithms. What you have • M.Sc in Computer Science, Mathematics, Statistics, Engineering or a related field • 5+ years of experience in applied Data Science or Algorithmic Development, preferably in large-scale production environments. • Hands-on experience in training and fine-tuning machine learning, deep learning, and AI models • Strong programming skills in Python and proficiency in SQL. • Solid understanding of data pipelines, MLOps practices, and working with huge datasets. • Ability to mentor, collaborate, and communicate complex ideas clearly to diverse audiences. • A fast learner, problem solver, and end-to-end owner with a strong “can-do” approach. Bonus Points • Experience in the ad-tech industry or with fraud detection systems. • Familiarity with LLMs, generative AI, or representation learning for anomaly detection. • Proven track record working with large-scale distributed data systems. • Being introduced by an AppsFlyer employee As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners. “As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. A Day in the Life In this role, you will join a world-class team of engineers within the Surgical Operating unit responsible for developing medical devices that focus on lung cancer diagnosis. Medtronic’s Surgical Operating Unit is a new, powerful operating unit bringing together the people and product portfolio of Surgical Robotics and Surgical Innovations. With the Medtronic Mission as our North Star, we will build on our legacy of proven surgical solutions and advance the promise of robotics and digital solutions to benefit our customers and patients. Make your impact by exploring a career with the world’s leading Medical Device company, striving “to alleviate pain, restore health, and extend life.” Join a growing Algorithm team at the forefront of AI innovation in real-time medical interventional procedures. In this role, you will tackle complex technical challenges, shape solutions with meaningful clinical impact, and help define the next generation of intelligent medical technologies. You will be part of an innovation-driven environment that encourages curiosity, bold thinking, and continuous learning, while working alongside talented and supportive people who are committed to both professional excellence and personal growth. Together, you will contribute to technology that has the potential to make a real difference in patients’ lives. Responsibilities may include the following and other duties may be assigned: • Lead a team of high-performing researchers to develop innovative algorithmic solutions that support and advance our medical device from the fields of Machine Learning, Computer Vision, and Image Processing • Represent the algorithm team in global forums and communicate ongoing progress, key results, risks, and challenges to global stakeholders • Lead the algorithm development lifecycle: research, design, implement, validate, document and optimize algorithms for our products • Provide technical direction and mentorship to algorithm developers; conduct design/code reviews and ensure best practices and high-quality deliverables • Partner with Data, Software, Systems, Clinical, and Product teams to define requirements, plan milestones, manage risks, and drive end-to-end delivery from prototyping to production Required Knowledge and Experience: • MSc. or PhD in Computer Science/Software Engineering/EE/other relevant field - MUST • Proficiency and proven experience in developing, optimizing, validating, and deploying machine learning algorithms, deep learning techniques, and AI models to production • Passion for continuous learning and staying updated on AI advancements and trends • 7+ years of R&D experience (algorithms / ML), including ownership of end-to-end delivery • Proven leadership experience (team lead / tech lead), including mentoring, prioritization, and driving execution across multiple stakeholders • 3+ years of hands-on experience in Python (ability to lead by example with production-quality code) • Team player with very strong leadership and communication skills; able to influence and align across R&D and cross-functional stakeholders • Structured problem solver with sound technical judgment and data-driven decision making • High ownership: able to plan, prioritize, and drive tasks end-to-end while unblocking others and managing risks Physical Job Requirements The above statements are intended to describe the general nature and level of work being performed by employees assigned to this position, but they are not an exhaustive list of all the required responsibilities and skills of this position.  Benefits & Compensation Medtronic offers a competitive Salary and flexible Benefits Package A commitment to our employees lives at the core of our values. We recognize their contributions. They share in the success they help to create. We offer a wide range of benefits, resources, and competitive compensation plans designed to support you at every career and life stage. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP). About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission — to alleviate pain, restore health, and extend life — unites a global team of 95,000+ passionate people. We are engineers at heart— putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here

About Payoneer Founded in 2005, Payoneer is the global financial platform that removes friction from doing business across borders, with a mission to connect the world’s underserved businesses to a rising global economy. We’re a community with over 2,500 colleagues all over the world, working to serve customers, and partners in over 190 countries and territories. By taking the complexity out of the financial workflows–including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence–we give businesses the tools they need to work efficiently worldwide and grow with confidence. Senior Data Scientist – AI & ML Hybrid Full-time Role Summary You’ll be one of the founding data scientists on our brand-new ML team, building Payoneer’s AI and data science capabilities from the ground up. Working closely with the Tech Lead, you’ll develop and deploy models across payments, risk and customer analytics, and build the frameworks that evaluate our GenAI and LLM-based agents. You’ll set the modeling standards, technical practices and culture the team will scale on, and help hire the data scientists who come next. It’s a great fit if you’re excited to build something new and own it end to end. What You’ll Do • Build evaluation frameworks for GenAI and LLM agents – golden datasets, LLM-as-judge, and quality, safety and compliance monitoring • Own the full ML model lifecycle, from research and experimentation through production deployment and monitoring • Design and deploy ML models that solve complex business problems across payments, risk and customer analytics • Work with the Tech Lead to define core modeling methodologies, analytical standards and research practices • Set up the team’s approach to feature engineering, model validation, experimentation, A/B testing and performance monitoring • Lead exploratory research to uncover insights, identify ML opportunities and evaluate new techniques • Partner with business stakeholders to translate problems into data science solutions and communicate findings clearly • Shape the team’s culture and documentation standards, and help interview, onboard and mentor new data scientists Who You Are • 5+ years of experience in Machine Learning, Data Science or a related technical role • Proven track record of building and deploying ML models in production environments • GenAI/LLM evaluation experience – benchmark datasets, LLM-as-judge or human-in-the-loop evaluation, and monitoring of RAG and agent systems • Strong proficiency in Python and SQL, and in ML frameworks such as TensorFlow, PyTorch and Scikit-learn • Experience with cloud platforms (AWS, GCP or Azure) and MLOps tools and practices • Technology leadership – a history of making tech stack decisions and establishing development practices that scale • Excellent communication skills, with the ability to explain technical concepts and influence technical decisions • Entrepreneurial, self-starter mindset – excited to build from scratch and comfortable with ambiguity and ownership • Sc. or M.Sc. in Computer Science, AI, Data Science, Mathematics or a related quantitative field • Experience in fintech or financial services – an advantage The Payoneer Ways of Working Act as our customer’s partner on the inside Learning what they need and creating what will help them go further. Do it. Own it. Being fearlessly accountable in everything we do. Continuously improve Always striving for a higher standard than our last. Build each other up Helping each other grow, as professionals and people. If this sounds like a business, a community, and a mission you want to be part of, apply today. We are committed to providing a diverse and inclusive workplace. Payoneer is an equal opportunity employer, and all qualified applicants will receive consideration for employment no matter your race, color, ancestry, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status, or any other characteristic protected by law. If you require reasonable accommodation at any stage of the hiring process, please speak to the recruiter managing the role for any adjustments. Decisions about requests for reasonable accommodation are made on a case-by-case basis.