Data Scientist, Consumption Analytics and Forecasting

What You’ll Do:

• Build forecasting models for consumption-based revenue.
• Partner with Finance to translate business mechanics into analytical frameworks.
• Analyze customer and usage data to identify signals around retention and monetization.

What You'll Bring:

• Strong foundation in statistics and quantitative reasoning.
• Experience working with revenue, pricing, usage-based, or subscription data.
• Proficiency in Python and SQL; familiarity with additional languages.

Additional Perks:

• $3,600 / Year Work from Home Meals
• $1,800 / Year Professional Enrichment
• $1,200 / Year Lifestyle Spending Account