Senior Data Scientist
Core
Design and analyze experiments (A/B tests, observational studies) and develop/deploy ML models to measure business impact and support decision-making.
Role type
Senior IC data scientist (causal inference & experimentation)
Builds
Production ML models, evaluation frameworks for AI/LLMs, and measurement systems
Domain
Technology / Data Science / Causal Inference
Deliverable
production ML models
Required skills
causal inference, experimental design, statistical methods, machine learning, LLM evaluation, data storytelling, Python, SQL
Preferred skills
R, advanced analytics best practices
Technologies
Python, R, SQL, matplotlib, seaborn, plotly
Responsibilities
Design and analyze experiments including A/B tests and observational studies; Develop, validate, and deploy machine learning models for prediction and classification; Evaluate AI and LLM-based solutions using structured testing methodologies; Communicate findings through visualizations and data-driven storytelling; Partner with engineering and business teams to define metrics and improve data collection processes.
Seniority
Senior, hands-on IC
