Job details

Senior Data Scientist, Machine Learning, Rider Recommendations

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 at the heart of Lyft’s products and decision-making. As a member of the Rider 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 algorithms that power our internal and external products. We’re looking for passionate, driven Data Scientists to take on 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 optimization, prediction, machine learning, and inference. On the Rider Recommendations team, you will collaborate with cross-functional teammates and stakeholders to develop advanced machine learning models to enhance rider experience. By analyzing user behavior and leveraging data-driven insights, the team builds personalized recommendation systems that help deliver more relevant, engaging content and products. The Rider Recommendations team aims to optimize recommendations, drive user satisfaction, and improve overall platform engagement.

You will report to a Data Science Manager in the Rider Science team.

Responsibilities:

Drive the Science 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.
Perform exploratory data analysis to gain a deeper understanding of the problem
Construct and fit statistical, machine learning, or optimization models
Write modeling code; collaborate with Software Engineers to implement algorithms in production
Design and implement both simulated and live traffic experiments
Analyze experimental and observational data; communicate findings; facilitate decisions
Develop measurement methodologies to monitor the health of our products, as well as the impacts on user outcomes and marketplace outcomes
Drive collaboration and coordination with cross-functional teams
Advise teams on best practices. Be a thought leader and go-to expert for stakeholders and dependency teams

Experience:

M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, Mathematics, or other quantitative fields
4+ years professional experience in a technology company setting
Proven experience with building and evaluating machine learning models
Proven experience in leading high visibility projects and influencing others in a cross-functional team environment
Proficiency with SQL, Python and working in a production coding environment
Passion for driving business impact with data
End-to-end experience with data, including querying, aggregation, analysis, modeling and visualization
Strong oral and written communication skills, and ability to collaborate with and influence cross-functional and cross-team partners
Strong business sense and understanding of experimentation methodologies
Experience in online experimentation and statistical analysis.

Benefits:

Great medical, dental, and vision insurance options
Mental health benefits
Family building benefits
In addition to 12 observed holidays, salaried team members have unlimited paid time off, hourly team members have 15 days paid time off
401(k) plan to help save for your future
18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
Pre-tax commuter benefits
Lyft Pink - Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program

Lyft is an equal opportunity/affirmative action 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 the office 3 days per week on Mondays, Thursdays and a team-specific third day. 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 New York City area is $132,480 - $165,600. 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.

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Average salary estimate

$149040 / YEARLY (est.)

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$132480K

$165600K

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What You Should Know About Senior Data Scientist, Machine Learning, Rider Recommendations, Lyft

At Lyft, we're excited about our mission to connect people and make transportation more accessible. As a Senior Data Scientist specializing in Machine Learning for the Rider Recommendations team, you'll play a pivotal role in shaping how our riders experience our service in New York, NY. Here, data science is not just a department—it's the heartbeat of our decision-making process. Your work will involve crafting advanced machine learning models that not only react to but predict user behavior, helping us create personalized recommendations that enhance rider satisfaction and engagement. Imagine diving into rich datasets to unravel patterns that lead to actionable insights. You’ll collaborate closely with a diverse team of Engineers, Product Managers, and other stakeholders to solve complex business problems using your data-driven expertise. In this dynamic role, you will also be responsible for driving the science roadmap and conducting thorough exploratory data analyses. Your insights will guide the creation of models that optimize our service's effectiveness. Engaging in experimentation—both simulated and live—you'll analyze the impact of the changes made, all while sharing your findings with the team. With your passion for machine learning and practical experience in a technology setting, you will take the lead on high-visibility projects that influence our platform significantly. Join us in making ridesharing smarter and more tailored to individual needs at Lyft!

Frequently Asked Questions (FAQs) for Senior Data Scientist, Machine Learning, Rider Recommendations Role at Lyft

What qualifications do I need to apply for the Senior Data Scientist position at Lyft?

To apply for the Senior Data Scientist, Machine Learning position at Lyft, you should have an M.S. or Ph.D. in Machine Learning, Statistics, Computer Science, or a related quantitative field. Additionally, you need at least 4 years of professional experience in a tech environment, demonstrating your ability to build and evaluate machine learning models effectively.