Data Scientist jobs in Tel Aviv-Yafo

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

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary As a Data Scientist, you will apply your expertise in software engineering, LLM agents, and cybersecurity to build new defense techniques against cyber-villains. You will be a driving force in designing and developing groundbreaking, Agentic LLM-based security solutions that block attacks before they begin. Join our innovative team to shape the future of cybersecurity and impact millions of customers. Important: this role requires a unique combination of hands-on software engineering skills as well as previous experience with designing and delivering LLM-driven products. Key Responsibilities • Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers. • Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach. • Design and implement agentic LLM solutions to face modern cybersecurity challenges. • Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders. • Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment. Qualifications Required Qualifications • Natural scientific curiosity and ability to handle complex problems. • At least 2 years of experience in hands-on Agentic LLM projects. This includes experience with the common agentic frameworks (e.g., LangChain, LangGraph), with emphasis on algorithmic design, large-scale deployment and monitoring. • At least 4 years of experience as a software engineer with high proficiency in python and at least good familiarity with SQL. • Deep understanding of probability, statistics, and machine learning models with a proven track record of selecting, modifying, and applying advanced algorithms to solve practical problems. • Demonstrated ability to run end-to-end research POCs, from conceptualization to solutions, including designing, executing, analyzing, and concluding research methodologies and outcomes. • Good communication skills, with the ability to convey complex research findings clearly and effectively to both technical and business audiences. Preferred Qualifications • Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field. • Background in the cybersecurity domain. • Hands-on experience with open-source generative libraries (e.g., Hugging Face). • Experience working with big data platforms (e.g., GCP). • Familiarity with cloud-native architectures and services for data processing. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary We are seeking a Senior / Principal Security Researcher to join our innovative Security ML Team. Sitting at the forefront of endpoint protection, our team solves complex security challenges by applying advanced Deep Learning techniques, including resource-efficient Small Language Models (SLMs) and specialized ML algorithms to massive datasets, delivering groundbreaking security solutions directly into production. In this role, you will serve as the core security domain expert within a multidisciplinary team of Researchers and Data Scientists. Working directly with complex malware behaviors, static file attributes, and massive telemetry, you will translate deep security insights into actionable datasets, automated rule-generation pipelines, and advanced feature sets. Beyond classical security analysis, your research will directly drive, evaluate, and refine the AI models and detection logic that protect millions of endpoints worldwide, making this an ideal role for a security expert looking to apply data-driven methodologies and broaden their technical arsenal with AI/ML. If you are a forward-thinking Security Researcher eager to autonomously drive high-impact research and shape the next generation of intelligent security modeling, we want to hear from you. Key Responsibilities • Contribute to a diverse and highly skilled research group that pioneers state-of-the-art technologies to protect our customers. • Utilize analytical rigor, statistical methods, programming, and data modeling to analyze vast amounts of data, applying your cybersecurity knowledge to guide our focus and approach. • Decompose complex problems scientifically and provide actionable insights and recommendations to both technical and non-technical stakeholders. • Lead and collaborate on end-to-end projects within the team and across engineering and product teams, from initial ideation to final deployment. Qualifications Required Qualifications • 6+ years of hands-on experience delivering production-grade data science and machine learning solutions. • Proven experience with deep learning and transformer-based models, including model design, training, optimization, and evaluation. • Strong Python proficiency with solid working knowledge of SQL. • Advanced degree (MSc or PhD) in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Mathematics, or a related field. • Deep expertise in probability, statistics, and machine learning, with the ability to select, adapt, and apply advanced algorithms to real-world problems. • Demonstrated ownership of end-to-end research POCs, from problem formulation and experimental design to implementation, analysis, and actionable recommendations. • Strong focus on engineering-quality, production-ready code, with high standards for reliability, scalability, and maintainability. • Excellent communication skills, with the ability to translate complex technical insights into clear explanations for both technical and business stakeholders. Preferred Qualifications • Background in the cybersecurity domain, with focus on endpoint security • Experience working with big data platforms (e.g., GCP). • Familiarity with cloud-native architectures and services for data processing. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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.

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. As a Staff Data Scientist, you will be tasked with developing and deploying innovative solutions that enhance our customers' security. You will play a crucial role in our cyber defense efforts. You will leverage data science expertise to identify and mitigate cyber threats, developing, training, and deploying sophisticated analytical models to ensure the robust protection of our customers. You will also collaborate with our security researchers, providing model-driven insights to uncover emerging threats. What Will You Do? Primary responsibilities include: • You will work closely with diverse teams, including detection engineers, threat hunters, cybersecurity researchers, and data engineers. Your contributions will translate into innovative, real-world solutions that directly enhance our security posture. If you are driven by impact and cutting-edge challenges, this opportunity is for you. • Prepare for significant challenges and meaningful impact. You will not just solve problems, you will address complex, real-world cyber scenarios, directly contributing to the safety and security of our global customer base. • You will join a team of leading industry experts, gaining access to unique, proprietary data - an essential resource for solving the most intricate cybersecurity puzzles. This role offers the chance to lead and innovate on pivotal projects that will advance our threat detection and threat hunting capabilities. • At SentinelOne, you will be a vital contributor to the future of cybersecurity. You will collaborate with some of the finest minds in the industry to overcome extraordinary challenges. Join us in shaping the next generation of cyber protection! What Skills and Knowledge Will You Bring? Ideal candidates will have: • 5+ years of experience in data science, machine learning, and statistical modeling • Strong programming skills in Python. • Specific experience in PyTorch or equivalent • Excellent communication skills, with the ability to clearly present and explain complex models (specifically neural networks) to technical and non-technical stakeholders • Interest in cybersecurity and understanding of the threat landscape Why SentinelOne? AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place. We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family: Equity & Rewards • Restricted Stock Units (RSUs) • Employee Stock Purchase Plan (ESPP) Time Off & Wellbeing • Competitive leave benefits • Gender-neutral parental leave • Employee Assistant Program • Workout sessions and a Wellness App Insurance & Financial Security • Medical and insurance benefits • Pension • Employee Assistance Program (EAP) Work Perks & Flexibility • Global home office allowance • Mobile phone reimbursement • Study Fund SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. SentinelOne participates in the E-Verify Program for all U.S. based roles. To learn more about how we use AI in our hiring process, please review our AI in Hiring Candidate Disclosure.

Realize your potential by joining the leading performance-driven advertising company! As an Algorithm Engineer on the Algorithms team in our Tel Aviv office, you’ll play a vital role in building machine learning models that power real-time bidding and optimize billions of daily auctions. You’ll design and evolve large-scale ML solutions that drive bid optimization, price prediction, win-rate prediction, and auction strategy. Working at the intersection of machine learning, data, and engineering, you’ll take models from research and experimentation through production, creating solutions that directly impact advertiser performance, publisher revenue, and marketplace efficiency. To thrive in this role, you'll need: • 4+ years of experience building machine learning and deep learning solutions end-to-end, from research and experimentation through production. • MSc or PhD in Computer Science, Mathematics, Engineering, Statistics, or a related field, with strong foundations in machine learning, optimization, and statistical modeling. • Experience building machine learning solutions for real-time bidding (RTB), programmatic advertising, pricing, or other large-scale optimization problems. • Strong software engineering skills in Python or Java, with experience developing production ML systems. • Proven ability to take machine learning models from prototype to scalable, high-performance production environments. Bonus points if you have: • Experience building machine learning models for bid optimization, auction systems, pricing, or large-scale recommendation systems. • Experience using AI coding tools (such as Claude Code or Cursor) to accelerate development, experimentation, and code quality. How you'll make an impact: • Design, train, and deploy machine learning models for bid optimization, price prediction, win-rate prediction, CTR/CVR estimation, calibration, and auction optimization. • Own the full machine learning lifecycle, from research and prototyping through production deployment, A/B testing, monitoring, and optimization. • Build and evolve large-scale ML models serving low-latency, high-throughput production traffic. • Analyze auction and marketplace data to identify modeling opportunities and translate insights into measurable business impact. • Partner with Product, Engineering, and Business teams to translate marketplace goals into scalable machine learning solutions. • Mentor junior engineers and contribute to technical design reviews, code reviews, and deep technical investigations. Why Taboola? If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about: • Adam Singolda, Taboola Founder and CEO: “You can copy anything from another business but you can’t copy a company’s culture.” • Well-being: Competitive benefits and well-being programs tailored to the region, including comprehensive health benefits, a fully stocked kitchen, and location-specific perks. • Flexibility: We offer a hybrid work schedule with 3 days in-office, with an option to come in more often if desired. • Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, and Expedia. Ready to realize your potential? Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need. Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog. About Taboola Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale. Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale. #LI-DN1 #LI-Hybrid