Senior Data Scientist, Decisions (San Francisco)

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

Data Science is at the heart of Lyfts products and decision-making. You will leverage data and rigorous, analytical thinking to shape our products and make business decisions. This will involve identifying and scoping opportunities, shaping team priorities, recommending and implementing technical solutions, designing experiments, and measuring the impact of new features.

As a Data Scientist on the Risk Solutions team, you'll be at the forefront of a mission that directly impacts driver and rider safety. We are a team dedicated to using data to build a safer platform for our users. You will partner with product and engineering teams to design and implement experiments, and turn data-driven insights into products that make a tangible difference. If you are passionate about applying your data science skills to solve complex, high-impact problems, this role offers a unique opportunity to directly influence the safety of our community.

Responsibilities :

Leverage data and analytic frameworks to identify opportunities for growth and efficiency

Partner with product managers, engineers, marketers, designers, and operators to translate data insights into decisions and action

Construct and fit statistical, machine learning, or optimization models

Design and analyze online experiments; communicate results and act on launch decisions

Develop analytical frameworks to monitor business and product performance

Establish metrics that measure the health of our products, the business, as well as the driver experience

Experience :

Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience

3+ years of industry experience in a data science, analytics, or management consulting role.

End-to-end experience with data, including querying, aggregation, analysis, and visualization

Ability to manage, influence, negotiate, and inspire others in a fast-moving environment

Proficiency in SQL and Python

Strong oral and written communication skills, and ability to collaborate with cross-functional partners

Benefits :

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 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

Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. 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, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law.

Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. 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 area is $148,000 - $185,000. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

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.

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