Data Scientist jobs in Herzliya

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.

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.