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About the Role

Data Science is central to Lyft's products and decision-making. The FORTOP team provides real-time market supply and demand signals and forecasts to power automated decisions for Lyft's business. As a Senior Data Scientist on FORTOP, you will enhance marketplace efficiency by developing and deploying machine learning models for real-time and forecast signals.

Responsibilities

• Partner with Engineers, Product Managers, and Business Partners to frame problems and shape roadmaps.
• Perform exploratory data analysis to understand problems and the marketplace.
• Develop, fit, and evaluate time series forecasting and machine learning models.
• Write production model code and collaborate with Software Engineers for implementation and scaling.
• Design and implement backtesting and live experiments; analyze data and communicate findings.
• Define and monitor model and signal health; build tooling to improve operational efficiency.

Requirements

• M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative fields or equivalent experience.
• 5+ years of professional experience in a technology company with a product.
• Proven experience building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production.
• Strong grasp of core ML fundamentals, including feature engineering, model evaluation, and managing the bias-variance tradeoff.
• Proficiency with Python and modern ML libraries, and experience in a production coding environment.
• End-to-end experience with data, including querying, aggregation, analysis, and visualization.
• Passion for solving unstructured and non-standard mathematical problems.
• Strong written and verbal communication skills; ability to align stakeholders and influence outcomes.

Skills

• Time series forecasting
• Machine learning models
• Python
• ML libraries
• Data analysis
• Data visualization
• Feature engineering
• Bias-variance tradeoff

Location

• San Francisco area

Work Type

• Hybrid
• In-office (3 days/week)
• Remote (up to 4 weeks/year)

Experience Level

• Senior

Education Level

• M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or related quantitative fields or equivalent experience

Salary/Compensations

• $148,000 - $185,000

Benefits

• Medical, dental, and vision insurance
• Mental health benefits
• Family building benefits
• Child care and pet benefits
• 401(k) plan with company match
• Discretionary paid time off (salaried) / 15 days paid time off (hourly)
• 18 weeks of paid parental leave
• Subsidized commuter benefits
• Monthly Lyft credits
• Complimentary Lyft Pink membership

About the Company

• Lyft's purpose is to serve and connect.
• We aim to cultivate a work environment where all team members belong and have the opportunity to thrive.

Equal Opportunity

• Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law.
• We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.