Staff Data Scientist - Algorithms - Rider Recommendations

Staff Data Scientist – Algorithms – Rider Recommendations

M.S. or Ph.D. in Statistics, Computer Science, Mathematics, or other quantitative fields.
M.S. and at least 6 or Ph.D. + at least 4 years of relevant work experience.
Proven experience with building and evaluating impactful machine learning system.
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.

Drive Science roadmap for Recommendations team. Be a primary participant in defining team goals and setting the priorities of projects for the team to address.
Partner with cross-functional teams to initiate, lead and drive science work on designing, developing and scaling Rider recommendations system. Define and maintain system objectives to align with the overarching goals of Rider, Marketplace and Lyft.
Prototype modeling system; collaborate with MLE and server engineers to implement algorithms in production.
Be a thought partner to senior leaders to identify opportunities, prioritize projects, and drive data informed business decisions.
Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations.
Design, implement and evaluate both simulated and live traffic experiments. Analyze experimental and observational data, communicate findings and facilitate decisions.
Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams.
Provide technical guidance and mentorship to junior team members on solution design, implementation as well as lead code reviews.

No preferred qualifications provided.