Senior Data Scientist, Forecasting

Sellers use the platform to list used outdoor gear, and we handle payments, shipping labels and buyer protection. Revenue comes from a mix of advertising, affiliate commissions and a premium tier.

Our team is growing and we are hiring a Senior Data Scientist, Forecasting. The operations team works directly with product and finance. You'll design experiments, build forecasts and explain the results. Fully remote. You can work from anywhere in the US. Few meetings, lots of written updates. A quiet workspace and good internet are required.

Job duties:

• Present findings to product, marketing and finance leaders with clear recommendations
• Partner with data engineering on feature tables and data quality
• Design and analyze A/B tests, including power calculations and guardrail metrics
• Segment customers and build churn and lifetime value models
• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity
• Build predictive models in Python using scikit-learn, XGBoost or LightGBM
• Validate model performance and document assumptions and limitations

Minimum qualifications:

• 5+ years of applied data science experience
• Comfort with Jupyter, VS Code or Databricks notebooks
• Familiarity with Git and working in shared codebases
• Strong Python (pandas, NumPy, scikit-learn) and SQL

What you get:

Salary range: $168,000 to $225,000 annually

• Health, dental and vision coverage starting on day one
• 401(k) with company match
• Three weeks of PTO to start
• Paid holidays
• Referral program

We are unable to sponsor visas for this position.

Start: Immediately.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Rolling Hills Interactive Inc..