Principal Data Scientist
Core
Lead design and analysis of large-scale experiments and observational studies; develop and productionize advanced machine learning and causal models to drive strategic decisions.
Role type
Principal Data Scientist (Causal Inference & ML)
Builds
Production ML models and causal inference frameworks for strategic decision-making
Domain
Technology / Causal Inference / Machine Learning
Deliverable
production ML models
Required skills
Expert-level causal inference, Advanced statistics, Strong ML expertise, LLM/AI agent evaluation, Technical leadership, Data storytelling, Python/R/SQL proficiency
Preferred skills
Experience with causal ML libraries (DoWhy, EconML, CausalML), Experience evaluating LLMs and AI agents
Technologies
Python, R, SQL, matplotlib, seaborn, plotly, DoWhy, EconML, CausalML
Responsibilities
Design and analyze large-scale experiments and observational studies, Establish best practices for experimentation and model validation, Mentor Associate data scientists, Communicate complex results to senior stakeholders, Influence metric definitions and measurement strategy
Seniority
Principal, strategy & mentorship
