Lyft
Senior Data Scientist, Algorithms, Forecasting and Realtime Optimization Platform
San Francisco, CA · Senior
Sponsorship not specified$148k-$185kDetected 13 days ago
PythonAlgorithmsMachine LearningData AnalysisData ScienceStatisticsForecastingResearchCommunication
About the role
- At Lyft, our purpose is to serve and connect.
- We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.
- Data Science is at the heart of Lyft's products and decision-making.
Responsibilities
- Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context, and shape roadmaps across cross-functional teams
- Perform exploratory data analysis to gain a deeper understanding of the problem and the marketplace
- collaborate with Software Engineers to implement and scale models and algorithms in production, with attention to correctness, efficiency, consistency, and technical debt
- Design and implement both simulated backtesting and live experiments
- build and scale tooling that improves the efficiency of operational tasks\
- Write production model code; collaborate with Software Engineers to implement and scale models and algorithms in production, with attention to correctness, efficiency, consistency, and technical debt
- Design and implement both simulated backtesting and live experiments; analyze experimental and observational data, communicate findings, and facilitate launch decisions
- As a member of the Science team, you will work in a dynamic environment, where we embrace moving quickly to build the world's best transportation.
Nice to have
- M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related work experience
- 5+ years professional experience in a technology company setting involving a product
- Strong grasp of core ML fundamentals - feature engineering, model evaluation, and managing the bias-variance tradeoff
- Proficiency with Python and modern ML libraries, and experience working 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
- ability to align stakeholders and influence outcomes through reasoning and data
Compensation
- Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid
Benefits
- Great medical, dental, and vision insurance options with additional programs available when enrolled
- Mental health benefits
- Family building benefits
- Child care and pet benefits
- In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off
- 18 weeks of paid parental leave.
- Subsidized commuter benefits
- Your recruiter can share more information about the various in-office perks Lyft offers.
- The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits.
Equal opportunity
- Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging.
This listing is sourced directly from Lyft's careers page and normalized into a canonical job model.