Senior Data Scientist

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.

Requirements:

5+ years of relevant industry experience in data science or machine learning
Education: MSc in Math/EE/CS/Statistics or related fields
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
Strong 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 working streaming data (including sequential/time series) and implementing corresponding algorithms/models in a production environment, whether in batch processing or real-time scenarios
Solid experience in deep learning, utilizing platforms such as TensorFlow, Keras, PyTorch, etc.
Proficiency in SQL
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.

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