Senior Data Scientist, Marketplace

Lyft Inc
Seattle, WA, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$136,160.0 - $170,200.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Python (Programming Language) Machine Learning Feature Engineering Model Validation Technical Debt Scikit Learn Information Technology Marketplace

Job description

Data Science is at the heart of Lyft’s products and decision-making. 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. Data Scientists take on a variety of problems ranging from shaping critical business decisions to building the machine learning models and algorithms that power our internal and external products., * 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
  • 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, 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
  • Define and uplevel monitoring of model and signal health; build and scale tooling that improves the efficiency of operational tasks

Requirements

  • 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
  • Proven experience with building and evaluating time series forecasting and machine learning models, ideally in real-time or large-scale production settings
  • 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

Benefits & conditions

  • Great medical, dental, and vision insurance options with additional programs available when enrolled
  • Mental health benefits
  • Family building benefits
  • Child care and pet benefits
  • 401(k) plan with company match to help save for your future
  • 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. Biological, adoptive, and foster parents are all eligible
  • Subsidized commuter benefits
  • Monthly Lyft credits and complimentary Lyft Pink membership

Apply for this position

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