Senior/Staff Data Scientist, Analytics
Core
Statistical backbone for experimentation, causal inference, and methodological standards to drive data-driven decisions and harden metrics.
Role type
Senior/Staff Data Scientist (Analytics)
Builds
Experimentation frameworks, causal inference analyses, and methodological documentation for internal operations and customer analytics products.
Domain
AI Marketing / Martech
Deliverable
production ML models | dashboards & analysis | research
Required skills
SQL, Python, hypothesis testing, confidence intervals, power analysis, causal inference, data preprocessing, feature engineering, model evaluation, statistical significance frameworks
Preferred skills
LLM/AI product data experience, supervised learning (regression, classification, gradient boosting), unsupervised learning (clustering, dimensionality reduction), ML deployment support (inference pipelines, feature stores), NLP/ML research paper interpretation, BI/visualization tools (Looker, Omni, Tableau)
Technologies
SQL, Python, Looker, Omni, Tableau
Responsibilities
Design, execute, and analyze A/B tests; lead causal inference analyses; serve as analytics escalation point for statistical rigor; document and review statistical methods; author internal research papers and benchmark studies; respond to ad-hoc deep-dive data requests
Seniority
Senior/Staff, hands-on IC with strategic impact
