Senior Data Scientist

About Lewis Apps

Our audience is small but loyal: about 40,000 newsletter subscribers who actually open it. Everyone has access to the analytics dashboard, and weekly numbers are posted in Slack. Product reviews happen on Thursdays, with demos of whatever shipped that week.

About the role

This hire will own our demand forecasting models and the process for keeping them accurate as conditions change. Lewis Apps needs someone comfortable with both statistics and production code. Remote within the US. The team meets in Pittsburgh once a quarter, travel covered. Weekday working hours, with room to shift your day when needed.

In your first few months you will

• Estimate causal effects with difference-in-differences, propensity matching or regression discontinuity
• Segment customers and build churn and lifetime value models
• Translate vague business questions into problems the data can actually answer
• Present findings to product, marketing and finance leaders with clear recommendations
• Validate model performance and document assumptions and limitations

What you bring

• 5+ years of applied data science experience
• Familiarity with Git and working in shared codebases
• Experience building and validating machine learning models on real business data
• Solid grasp of statistical inference, regression and experimental design
• Ability to communicate uncertainty and tradeoffs to non-technical audiences

Compensation and benefits

$167,000 - $189,000/year

• Home office stipend
• Employee discount
• Stock options
• Life insurance
• Vision insurance
• 401(k) with 4% match

No recruitment agencies, please.

Start: Flexible.

Demo job created on 11jobs for testing and demonstrations. It is not an actual opening at Lewis Apps.