Lyft-posted about 1 year ago
$172,000 - $215,000/Yr
Full-time • Mid Level
San Francisco, CA
Transit and Ground Passenger Transportation

The Staff Data Scientist, Machine Learning, Rider Recommendations at Lyft is responsible for developing advanced machine learning models to enhance rider experience through personalized recommendations. This role involves collaborating with cross-functional teams to drive the science roadmap, prototype modeling systems, and analyze user behavior to optimize recommendations and improve platform engagement. The position requires a strong background in data science, machine learning, and statistical analysis, with a focus on delivering impactful business outcomes.

  • Drive Science roadmap for Recommendations team, defining team goals and project priorities.
  • Partner with cross-functional teams to lead and drive science work on designing, developing, and scaling the Rider recommendations system.
  • Prototype modeling systems and collaborate with MLE and server engineers to implement algorithms in production.
  • Act as a thought partner to senior leaders to identify opportunities and drive data-informed business decisions.
  • Shape product and business strategy through data-centric presentations and cross-org impact.
  • Design, implement, and evaluate both simulated and live traffic experiments, analyzing data and communicating findings.
  • Advise teams on best practices and serve as a thought leader for stakeholders and dependency teams.
  • Provide technical guidance and mentorship to junior team members, leading code reviews.
  • M.S. or Ph.D. in Statistics, Computer Science, Mathematics, or other quantitative fields.
  • M.S. with at least 6 years or Ph.D. with at least 4 years of relevant work experience.
  • Proven experience with building and evaluating impactful machine learning systems.
  • Proficiency with SQL, Python, and working in a production coding environment.
  • End-to-end experience with data, including querying, aggregation, analysis, modeling, and visualization.
  • Experience in online experimentation and statistical analysis.
  • Passion for driving business impact with data.
  • Experience in mentoring other data scientists.
  • Great medical, dental, and vision insurance options
  • Mental health benefits
  • Family building benefits
  • Unlimited paid time off for salaried team members, 15 days paid time off for hourly team members
  • 401(k) plan to help save for your future
  • 18 weeks of paid parental leave for biological, adoptive, and foster parents
  • Pre-tax commuter benefits
  • Lyft Pink - exclusive opportunity to test new benefits of the Ridership Program
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