Staff Data Scientist
Core
Own modeling work for AI co-workers integrating into enterprise operations, framing ambiguous business questions and shipping production-ready models.
Role type
Staff Data Scientist (Applied AI/ML)
Builds
Production-ready AI models and GenAI solutions for enterprise clients
Domain
Applied AI, Machine Learning, Enterprise Operations
Deliverable
production ML models
Required skills
Python, R, scikit-learn, TensorFlow/PyTorch, statistical modeling, time series forecasting, NLP, optimization, A/B testing, causal inference, Databricks, AWS SageMaker, Snowflake, Data Mesh
Preferred skills
Java, C++, Palantir experience, AWS cloud certifications, ML specialty credentials
Technologies
AWS, SageMaker, Snowflake, Databricks, TensorFlow, PyTorch, scikit-learn
Responsibilities
Design, build, and evaluate predictive and prescriptive models; Drive end-to-end ML and GenAI projects from proof of concept to production; Run A/B and multivariate experiments and apply causal inference; Mentor junior data scientists; Build reusable assets, tools, and processes for team velocity
Seniority
Staff, hands-on IC with mentorship
