Senior Data Scientist, Algorithms, Forecasting and Realtime Optimization Platform

Posted

LyftSan Francisco, CAHybridfull_timesenior

$148,000 – $185,000 USD

Tech Stack

Solid badges = required, outlined = preferred

Responsibilities

  • Partner with Engineers, Product Managers, and Business Partners to frame problems and shape roadmaps across cross-functional teams.
  • Perform exploratory data analysis to gain a deeper understanding of the problem and the marketplace.
  • Develop, fit, and evaluate time series forecasting and machine learning models.
  • Write production model code; collaborate with Software Engineers to implement and scale models and algorithms in production.
  • Design and implement both simulated backtesting and live experiments; analyze experimental and observational data and communicate findings.

Soft Skills

Cross-Functional CollaborationWritten CommunicationStakeholder ManagementTechnical Decision-Making

Benefits

  • 401k
  • Commuter Benefits
  • Dental
  • Health Insurance
  • Mental Health
  • Parental Leave
  • Vision

Culture

Cross-Functional TeamsCollaborative SpaceHybrid WorkWork-Life BalanceInclusive Hiring

Requirements

Required: M.S. or Ph.D. in Statistics, Mathematics, Economics, Operations Research, Computer Science, or other quantitative fields or related work experience
Regions: Us

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About Lyft
Industry: ridesharing
Size: enterprise

Lyft is a transportation company focused on connecting people and cultivating a work environment where all team members belong and have the opportunity to thrive. The Science team contributes to products and decision-making through machine learning models and algorithms.

View company profile →
Compensation
Base salary: $148,000 – $185,000 USD
Equity: potential equity offering