Senior Data Scientist

Responsibilities

• Partner with Engineers, Product Managers, and Business Partners to frame problems and shape roadmaps
• Perform exploratory data analysis to understand the marketplace
• Develop, fit, and evaluate time series forecasting and machine learning models
• Write production model code and collaborate with Software Engineers for implementation
• Design and implement simulated backtesting and live experiments
• Define and uplevel monitoring of model and signal health

Requirements

• M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative fields
• 5+ years of professional experience in a technology company setting
• Proven experience building and evaluating time series forecasting and machine learning models
• Strong grasp of core ML fundamentals including feature engineering and model evaluation
• Proficiency with Python and modern ML libraries
• End-to-end experience with data querying, aggregation, analysis, and visualization
• Strong written and verbal communication skills

Benefits

• Medical, dental, and vision insurance
• Mental health and family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• Discretionary paid time off and 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits and complimentary Lyft Pink membership

About the Company

Lyft aims to serve and connect by cultivating a work environment where all team members belong and have the opportunity to thrive.