Data Scientist jobs in Petah Tikva

DT (NASDAQ: APPS) is unifying the full mobile experience. Our growth platform powers the mobile ecosystem by bringing together advertisers, app developers, and device partners, to create a unique and premium value exchange, that results in a personalized and seamless mobile device experience. At DT, we move fast, think big, and build collaboratively. We believe great ideas can come from anywhere, and we trust our teams to take ownership, challenge convention, and make an impact from day one. Here, you’ll have the opportunity to grow your career while contributing to products and experiences used by millions around the world. With us, you will enjoy competitive compensation, equity awards, and a comprehensive benefits package designed to invest in your total well-being, all within a hybrid and flexible work environment. The Mission: Engineering the Brain of DT Exchange At Digital Turbine, "Real-Time" is our reality - handling billions of events with millisecond-level constraints. Our DS team doesn't just build models; we build the algorithmic heartbeat of a massive global marketplace. We are currently in a peak phase of infrastructure evolution, and we need a Senior partner to help lead the charge. The Role: A True Problem Solver We’re looking for a Senior DS who thrives on End-to-End ownership. You aren't just given a dataset; you identify the business opportunity, architect the mathematical solution, and write the high-quality, production-ready code that brings it to life. This is the ultimate "DS Candy Store" for those who love research but live for the adrenaline of seeing their code drive real revenue. Who You Are: • Have AdTech experience and understand the thrill of low-latency environments and high-stakes auction dynamics • The Scientist-Engineer Hybrid: You have a 5+ year track record of delivering DS projects to production. An MSc/PhD in a quantitative field is a must • Tech Mastery: Expert-level Python (production-grade) and the ability to build for scale (Spark, ONNX - great advantage) • The "Nose for Value": You are business-oriented and independent • You don't just solve equations; you solve business problems and know how to measure your success • Mentor & Partner: You lead by example, elevating the team’s technical bar through code reviews and collaborative design What You’ll Do: • End-to-End Ownership: Own the entire lifecycle: from defining the business problem and KPI to deploying and monitoring the solution in production • High-Scale Architecture: Design and implement ML models & handling high-cardinality data at massive scale • Engineering Excellence: Write clean, modular, and scalable code. We believe great Data Science is built on a foundation of great Software Engineering • Strategic Leadership: Mentor the team through complex technical hurdles and contribute directly to our algorithmic roadmap Why Digital Turbine? Because here, your impact is immediate and measurable. You’ll have the autonomy of a startup with the data-rich environment of a global giant. If you’re ready to move from the whiteboard to the "vein" of the product, let’s talk! DT (NASDAQ: APPS) is a mobile growth platform that powers superior experiences and outcomes for advertisers, app developers, carriers, OEMs, and publishers worldwide. Our technology connects brands and apps with consumers across devices, apps, and mobile environments — helping partners drive awareness, acquisition, engagement, and monetization through intelligent, integrated experiences. Headquartered in Austin, Texas, DT operates globally across North America, EMEA, APAC, and LATAM. DT is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We welcome people of different backgrounds, experiences, abilities, and perspectives, and believe teams with different points of view build better products, ideas, and experiences.

Description Pango is looking for an experienced Data Scientist to join us and take a key role in turning large-scale, real-world data into smarter product and business decisions.With millions of users interacting with Pango's mobility services, our data reflects complex customer behavior, business models, and real-life mobility patterns.We're looking for someone who can go beyond building models — someone who knows how to identify the right problems, challenge assumptions, uncover opportunities in the data, and translate them into real business impact. You'll have significant professional ownership, from taking an ambiguous business question and framing it as a statistical or Machine Learning problem, through choosing the right methodology, building and evaluating the solution, and bringing it to production.Just as importantly, we expect you to proactively identify questions that should be answered with data — even when nobody has asked them yet. Responsibilities • Own Data Science problems end-to-end — from business question and hypothesis to modeling, evaluation, and production. • Partner closely with Product, Business, Data, and Engineering teams to translate complex business challenges into data-driven solutions. • Proactively identify opportunities where statistical analysis, Machine Learning, and AI can improve our products, customer experience, and business performance. • Build, train, evaluate, and improve Machine Learning models used in production, across both real-time and batch use cases. • Select the right statistical or ML approach based on the problem and the data — including recognizing when a simple analytical solution is better than a complex model. • Define meaningful evaluation methodologies and connect model performance to real business impact. • Communicate complex statistical findings clearly to both technical and non-technical stakeholders. Requirements • 4–6 years of hands-on experience as a Data Scientist. • Strong statistical foundation and hands-on experience with Machine Learning. • Strong experience with Gradient Boosted Trees, such as XGBoost, LightGBM, or CatBoost. • Hands-on experience with AI technologies, including Generative AI and foundation models, as part of real-world solutions. • Strong Python and SQL skills. • Experience developing and deploying models in a production environment. • B.Sc. or M.Sc. in Statistics, Applied Mathematics, Physics, Electrical Engineering, Computer Science, or a related quantitative field. Advantages • Experience with production ML platforms such as AWS SageMaker. • Experience with real-time and batch inference. • Experience with neural networks, sequence models, and embeddings. • Experience working in a large-scale B2C or data-rich product environment.

Job Description As a Staff Data Scientist at ServiceNow, you’ll play a highly embedded and influential role within our Data Science organisation, partnering closely with Development and Product teams across multiple products within ITOM. Rather than simply responding to predefined requirements, you’ll bring your own creativity, domain expertise, and ideas to identify opportunities, challenge assumptions, and solve complex problems using real customer data. What you get to do in this role: • Lead the development and evolution of advanced data science and machine learning capabilities, including noise reduction, anomaly detection, root cause analysis, and new AI-powered product features. • Own complex data science problems end-to-end, from problem definition and ideation through experimentation, model development, evaluation, productionization, and deployment. • Develop advanced algorithms and models using techniques such as machine learning, deep learning, NLP, anomaly detection, and statistical modeling. • Partner closely with Product, Engineering, Quality, and Architects to translate product requirements into scalable, reliable ML solutions. • Drive technical direction and mentor other data scientists, contributing to best practices in modeling, experimentation, evaluation, and ML engineering. • Stay current with advances in AI/ML and identify opportunities to apply emerging technologies to ServiceNow products. Qualifications To be successful in this role you have: • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. • 6+ years of experience in data science, machine learning, algorithm development, or a related field. • Advanced expertise in at least one area such as anomaly detection, machine learning, deep learning/neural networks, NLP, or statistical modeling. • Proven experience leading complex data science or machine learning problems from ideation to production. • Strong Python skills and hands-on experience with modern data science and ML frameworks. • Experience working with large and complex datasets, developing evaluation methodologies, and defining metrics for ML models and data-driven products. • Practical experience with modern AI/ML techniques, including LLMs and/or generative AI. • Strong technical leadership, problem-solving, communication, and cross-functional collaboration skills. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.  Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

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 Senior Staff Data Scientist at CyberArk, you’ll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI. Advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space. Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications. Explore and analyze large-scale datasets to uncover patterns and drive actionable insights. Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas. Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges. Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications. Qualifications Qualifications • 5+ years of hands-on experience as a Data Scientist, with proven ability in designing, building, and deploying solutions utilizing LLMs, RAG, or other Agentic AI frameworks. • Msc degree from a university in Computer Science, Statistics, Mathematics, Engineering, Data Science or related field, with a thesis on Data Science. GPA above 85. • Solid understanding of machine learning fundamentals and a strong grasp of data structures, algorithms, and probability. • Demonstrated independent research capabilities and a self-driven approach to learning and problem-solving. • Passion for solving meaningful problems and eagerness to learn in a fast-paced, collaborative environment. • Strong communication skills and ability to explain technical concepts to different audiences. Additional information • Hands-on experience with deep learning frameworks (e.g., PyTorch, TensorFlow) or NLP libraries (e.g., Hugging Face). • Experience working with cloud platforms (e.g., AWS, GCP) or distributed data tools (e.g., Spark). • Knowledge or interest in cybersecurity - a big plus! 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.