Senior Data Scientist
Core
Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems and drive data-driven decision making across the organization.
Role type
Senior IC data scientist (ML & statistics)
Builds
Production ML models, scalable data pipelines, and automated data products
Domain
Library technology, global information access, hybrid cloud
Deliverable
production ML models
Required skills
Machine learning algorithms, statistical modeling, Python (numpy, pandas, scikit-learn), SQL, Snowflake, AWS/Azure, MLOps, Git, Docker, CI/CD
Preferred skills
Java, low-level languages, mathematical theory
Technologies
TensorFlow, scikit-learn, Snowflake, AWS, Azure, Docker, Git
Responsibilities
Design and deploy ML models, conduct statistical analysis and hypothesis validation, build and optimize data pipelines, scale operationalized models, create repeatable data products, perform exploratory data analysis, implement MLOps practices, mentor junior data scientists, influence best practices across teams, identify strategic opportunities, maintain industry engagement
Seniority
Senior, hands-on IC with mentorship
