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.
- 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
- 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.
Skills Required
- 5+ years of relevant industry experience in data science or machine learning
- MSc in Mathematics, Electrical Engineering, Computer Science, or Statistics
- Research expertise in the technology industry or published academic papers
- Strong understanding and hands-on expertise in mathematics, statistics, machine learning, deep learning, and data mining
- Expertise in data science pipelines, including data cleansing, feature engineering, and model tuning
- Advanced Python coding and software engineering experience
- Experience with data science libraries such as Pandas, Polars, NumPy, SciPy, and Scikit-learn
- End-to-end experience leading development and production deployment of AI, data science, or machine learning products or features
- Experience working with streaming, sequential, or time-series data and implementing production algorithms or models
- Deep learning experience with TensorFlow, Keras, PyTorch, or similar platforms
- Proficiency in SQL
- Strong communication and knowledge-sharing skills
- Ability to work independently and learn quickly
- Ability to cooperate effectively as a team player
- Ability to thrive in a dynamic work environment
What We Do
Upstream delivers a cloud-based, AI-powered data management platform purpose-built for connected vehicles, smart mobility, and IoT ecosystem. The Upstream Platform transforms fragmented, distributed mobility data into centralized, structured, and contextualized data lakes, unlocking its full potential. By leveraging this data, Upstream empowers customers with advanced, AI-driven applications across various use cases, including proactive after-sales quality, cybersecurity detection and response (XDR), misuse detection, observability, usage-based insurance, and more. Upstream’s customers include some of the world’s leading automotive OEMs, suppliers, and others, protecting millions of vehicles.
