Lead Product Data Scientist, Forecasting

What you'll do

• Own revenue forecasting end to end, including model development, evaluation, deployment, and monitoring.
• Set forecasting standards and technical direction, and mentor data scientists.
• Partner cross-functionally to investigate performance drivers, support scenario planning, and communicate actionable recommendations.

What they ask for

• 10+ years of experience in data science, product analytics, applied statistics, or a related quantitative discipline, including hands-on production forecasting.
• Deep expertise in time series forecasting, statistical modeling, and model evaluation.
• High proficiency in SQL and Python or R; familiarity with dbt and modern analytics engineering practices.
• Demonstrated technical leadership, including mentoring and setting direction on complex projects.

Nice to have

• Experience building forecasting capabilities in a high-growth B2B SaaS or product-focused technology company.
• Experience with revenue forecasting, financial modeling, scenario planning, or subscription-business performance analysis.

Pay

$172,000 — $258,000 USD base salary

Tools

SQL, Python, R, dbt, LLMs

AI focus

Evaluate and use emerging AI and forecasting technologies, including time series foundation models, LLMs, and agentic tools, to improve forecasting, analytical workflows, and decision support.