Staff Data Scientist
Core
Own modeling work for AI and machine learning problems, framing ambiguous business questions, building and validating models, and getting them into production.
Role type
Staff Data Scientist (Applied AI/ML)
Builds
Production-ready AI models and GenAI solutions for enterprise clients
Domain
Applied AI, Machine Learning, Statistics, 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
Python, R, scikit-learn, TensorFlow, PyTorch, Databricks, AWS SageMaker, Snowflake
Responsibilities
Design, build, and evaluate predictive and prescriptive models; Drive end-to-end ML and GenAI projects from proof of concept through production; Run A/B and multivariate experiments and apply causal inference; Mentor junior data scientists; Build reusable assets, tools, and processes
Seniority
Staff, hands-on IC with mentorship
