Benefits:

401(k)

Bonus based on performance

Competitive salary

We’re looking for a Senior Data Scientist to lead advanced analytics on one of the nation’s most visible public-facing systems. You’ll analyze large-scale clickstream, event, and user-journey data to identify friction points and improve digital experiences for millions. This is a hands-on technical role where your code, models, and insight will directly inform product and policy decisions.

What You’ll Do

Build analytical frameworks for funnel, path, and time-to-completion modeling.

Design and deploy Python pipelines using pandas, NumPy, scikit-learn, statsmodels, and Spark or Databricks.

Apply regression, clustering, survival analysis, and causal inference to understand user behavior.

Partner with UX and product teams to translate data findings into design recommendations.

Create interactive visualizations (Plotly Dash, Power BI, Tableau) for leadership insights.

Ensure data quality, reproducibility, and privacy compliance within secure cloud environments.

What We’re Looking For

5+ years in data science, analytics, or applied statistics.

Strong coding in Python and SQL; experience with big-data tools (Spark, Snowflake, Databricks) preferred.

Deep knowledge of behavioral, funnel, or clickstream analytics.

Solid grounding in statistical testing, A/B experimentation, and ML fundamentals.

Excellent communication—able to explain complex results clearly to non-technical partners

Why Join Us

Shape analytics for a high-impact federal digital modernization effort.

Work on meaningful, large-scale data challenges with real public value.

Hybrid flexibility, competitive compensation, and a mission-driven culture focused on learning and collaboration.

Flexible work from home options available.