Senior Data Scientist

Role overview

This senior data science role focuses on analyzing complex datasets using Databricks and similar platforms to surface trends, patterns, and actionable insights for a high-visibility federal online product. The position blends retail and consumer analytics with applied statistics, dashboarding, and AI-driven solutions.

Responsibilities

- Analyze complex datasets to identify trends, patterns, anomalies, and relationships - Apply statistical tests and models to validate hypotheses around customer retention and churn - Develop and maintain analytics, dashboards, and visualizations that support client decision-making - Integrate AI-driven capabilities into analytics projects and workflows - Clean, prepare, and explore big data sources to extract meaningful interpretations

Requirements

- US citizen or dual citizen (Public Trust eligible) - 8+ years of data analytics experience delivering measurable, quantifiable outcomes - Strong Python development experience - Hands-on experience with Databricks or comparable data platforms - Background in consumer research and retail analytics

Nice to have

- Experience integrating AI-driven solutions into analytics projects - Demonstrated record of successful outcomes tied to clear metrics

Benefits and work setup

- Posted base pay range of $116,900–$243,100 USD, varying by location, role scope, and experience - Comprehensive benefits package offered - Applications accepted on an ongoing basis with no fixed deadline