Principal Data Scientist (Algorithms, ML), Rider

Principal Data Scientist (Algorithms, ML), Rider

Join to apply for the Principal Data Scientist (Algorithms, ML), Rider role at Lyft

Principal Data Scientist (Algorithms, ML), Rider

Join to apply for the Principal Data Scientist (Algorithms, ML), Rider role at Lyft

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At Lyft, our purpose is to serve and connect. To do this, we start with our own community by creating an open, inclusive, and diverse organization.

Data Science is central to Lyft's products and decision-making. As a Data Scientist on the cross-functional team, you will work in a dynamic environment, tackling a variety of problems from shaping critical business decisions to building algorithms that power our products. We seek passionate, driven Data Scientists to address some of the most interesting and impactful problems in ridesharing.

As a Data Scientist specializing in Algorithms, you will develop mathematical models for the platform's core services, addressing diverse problems in machine learning, optimization, prediction, and inference. On the Rider Data Science team, you'll work alongside diverse cross-functional partners to enhance machine learning algorithms powering content and ride recommendations, develop predictive models for long-term rider value that drive strategic decision-making across business units, and solve complex data challenges that improve experiences for millions of riders globally

Responsibilities :

• Drive the Science and Machine Learning roadmap of the team’s problem area; leverage data and analytic frameworks to direct creations and improvements of algorithms and models underpinning the team’s systems and products
• Partner with Engineers, Product Managers, and Business Partners to frame problems, both mathematically and within the business context
• Construct and fit statistical, machine learning, or optimization models
• Write production modeling code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live traffic experiments
• Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams
• Operate effectively at both the strategic and tactical levels, including regular engagement with senior leadership

Experience :

Benefits :

Lyft is an equal opportunity employer committed to an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

This role will be in-office on a hybrid schedule — Team Members will be expected to work in either the SF or NYC office 3 days per week on Mondays, Wednesdays, and Thursdays. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid

The expected base pay range for this position in the San Francisco and New York City areas is $236,000 - $295,000. In addition to the base pay, this role is eligible for competitive equity awards, bonuses, and benefits. You can read more about Lyft’s employee benefits here.

Total compensation is dependent on a variety of factors, including qualifications, experience, and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

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