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.  You will work in a customer-obsessed environment that is dynamic and impact-oriented, 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 impactful problems in our business.

For this role on Lyft Media, you will be working on one of the most profitable and fastest growing revenue centers in our company.  We are the team that brings delightful ad experiences in the Lyft app and in out-of-home displays such as tablets mounted behind driver seats or on displays mounted on the top of the cars.  We’re looking for a motivated and results-oriented Data Scientist with experience in advertising to join our growing team!  In this role, you will be responsible for implementing and deploying machine learning algorithms for digital ads.  

We have doubly lofty goals for 2024.  You must be able to work fast and independently, and possess excellent teamwork and communication skills.  The ideal candidate will also have an excitement for solving data-driven marketing problems and relevant experience in the ads space.

Responsibilities:

• Partner with other scientists and colleagues in the Lyft Media team to frame digital ads problems mathematically and within the business context
• Perform exploratory data analysis to gain a deeper understanding of problems
• Develop and fit statistical, machine learning, or optimization models
• Write production model code; collaborate with Software Engineers to implement algorithms in production
• Design and implement both simulated and live experiments
• Analyze experimental and observational data; communicate findings; facilitate launch decisions

Experience:

• Master’s or PhD in a quantitative field like statistics, applied math, operations research or engineering 
• 5+ years of experience in the ad tech space working on algorithms
• Proficiency in Python and SQL 
• Working knowledge of the state-of-the-art ad tech algorithms and hands-on experience in foundational Ad Tech, digital media DS models used for forecasting, attribution, and relevance 
• Understanding of applied statistics including sampling approaches, causal modeling, time series analysis, and data-mining techniques
• Experience with all stages of A/B testing, from design through setup to monitoring, analysis and making and implementing ship decisions
• Strong oral and written communication skills, and ability to collaborate with cross-functional partners to build the business

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.

The expected base pay range for this position in the New York City is $172,000 - $215,000. 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.