Senior Data Scientist– Pricing
Core
Build analytics and ML systems for setting and negotiating prices for commercial PC and Print products, combining machine learning, causal inference, and optimization.
Role type
Senior IC data scientist (causal inference & pricing)
Builds
Production pricing engine with ML price/win-rate models, causal elasticity estimation, and constrained optimization
Domain
B2B hardware sales (PC/Print) + Econometrics
Deliverable
production ML models
Required skills
causal inference, experimental design, Python for production, gradient boosting, regularized regression, Databricks
Preferred skills
EconML/DoWhy, conformal prediction, GenAI tools, B2B pricing domain knowledge
Technologies
Python, scikit-learn, Git, Databricks
Responsibilities
Advance causal inference components (elasticity, uncertainty, optimization); design and analyze experiments (A/B, diff-in-diff); translate methods to production code; support operational health (monitoring, retraining); communicate findings to stakeholders
Seniority
Senior, hands-on IC