Lead Product Data Scientist, Forecasting

📋 Description

• Own revenue forecasting end to end, from problem framing and data preparation through model
• Build sophisticated forecasting models across multiple time horizons and levels of granularity
• Establish forecasting standards and governance by defining how the organization measures accuracy
• Lead the technical direction of forecasting, evaluating modeling approaches, reviewing technical
• Connect forecasting to business strategy by partnering with Product, Finance, Engineering, and
• Uncover drivers of customer and product performance through advanced statistical research

🎯 Requirements

• 10+ years of experience in data science, product analytics, applied statistics, or a related
• Deep expertise in time series forecasting, statistical modeling, and model evaluation, with
• Highly proficient in SQL and Python or R, with experience developing production-quality analytical
• Demonstrated technical leadership by setting direction on complex projects, mentoring other data
• Combine statistical rigor with strong business intuition and understand how product development
• Comfortable owning complex analytical problems from initial exploration through production

🎁 Benefits

• Competitive base salary
• Annual cash bonus plan
• Variable compensation (OTE) for sales and customer success roles
• Equity
• Sign-on payments
• Comprehensive health, welfare, and wellbeing benefits