Machine Learning Data Scientist - Consumer Forecasting

Skills

About the Role

You will lead forecasting initiatives within Strategic Finance Data Science, building robust, interpretable and production-ready forecasting systems. You'll own the end-to-end modeling lifecycle, contribute to self-service forecasting tools, research emerging techniques and translate outputs into business recommendations while collaborating with cross-functional teams.

Requirements

• MS or PhD in a quantitative field
• 7+ years of applied data science experience with forecasting, predictive modeling, or marketplace systems
• Expertise in time-series forecasting techniques
• Proficiency in Python, SQL, scikit-learn, PyTorch/TensorFlow, and forecasting libraries
• Experience with model monitoring, debugging, and maintenance in production
• Strong communication and storytelling skills
• Self-directed and comfortable leading ambiguous 0→1 projects

Responsibilities

• Build statistical and machine learning models for forecasting needs across product, finance, infrastructure, and GTM
• Own the end-to-end modeling lifecycle from scoping to deployment, monitoring, and explainability
• Develop and productionize scalable, interpretable forecasts for user growth, monetization, compute load, LTV, and profitability
• Contribute to self-service forecasting tools and internal platforms
• Research and evaluate emerging forecasting tools and techniques
• Translate technical outputs into business-aligned recommendations and decision frameworks
• Collaborate with cross-functional teams to integrate forecasts into planning and decision-making

Benefits

• Equity
• Performance-related bonus
• Medical, dental, and vision insurance with HSA employer contributions
• Health FSA, Dependent Care FSA, and commuter pre-tax accounts
• 401(k) with employer match
• Paid parental leave (up to 24 weeks birth parents, 20 weeks non-birthing parents)
• Paid medical and caregiver leave (up to 8 weeks)
• Flexible PTO for exempt employees
• 13+ paid company holidays and coordinated office closures
• Paid sick or safe time
• Mental health and wellness support
• Employer-paid basic life and disability coverage
• Annual learning and development stipend
• Daily meals in offices and meal delivery credits
• Relocation support
• Charitable donation matching and wellness stipends