Staff Data Scientist, Decisions - Rider Segment

Datamasked; New York (NY); Hybrid; USD 176,000 - 220,000; Full time

Job summary

An established industry player is seeking a passionate Staff Data Scientist to join their Rider Segment team. In this dynamic role, you will leverage data to shape product vision and make impactful business decisions. Collaborating with cross-functional teams, you will drive the roadmap, design experiments, and provide technical guidance. This position offers the opportunity to work on challenging problems in ridesharing while fostering an inclusive and diverse workplace. Join a company committed to innovation and excellence, where your contributions will directly influence the future of transportation.

Benefits

Medical, Dental, and Vision Insurance

Mental Health Benefits

Family Building Benefits

Child Care and Pet Benefits

401(k) Plan

Discretionary Paid Time Off

18 Weeks Paid Parental Leave

Subsidized Commuter Benefits

Exclusive Ridership Program Benefits

Qualifications

• M.S. with 6+ years or Ph.D. with 4+ years of relevant experience required.
• Proficiency in SQL and programming with Python or R is essential.

Responsibilities

• Drive roadmap across Rider Segments and Partnerships teams.
• Apply modeling and analytics to drive decision-making.

Skills

SQL

Python

R

A/B Testing

Data Visualization

Analytical Thinking

Communication Skills

Education

Master's in Economics, Applied Math, Statistics, Engineering

Ph.D. in Relevant Field

Tools

ETL Pipelines

Job description

Staff Data Scientist, Decisions - Rider Segment

Join to apply for the Staff Data Scientist, Decisions - Rider Segment role at Lyft.

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 Science 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.

As a Data Scientist, Decisions in the Rider team, you will leverage data and apply analytical thinking and inference to shape our rider and partner product vision and make business decisions that put our customers first. You will identify improvement opportunities, propose and implement technical solutions, design experiments, and measure the impact of your team’s decisions. You will partner closely with product, engineering, design, research, marketing, and business development to deliver products end-to-end. You will also collaborate and build alignment with adjacent teams outside of Rider to balance driver, rider, and marketplace needs. We’re looking for well-rounded, passionate, driven Data Scientists to take on some of the most interesting and impactful problems in ridesharing.

Responsibilities:

• Drive roadmap across Rider Segments, Loyalty and Partnerships teams. Be a primary participant in defining team goals and setting the priorities of projects for the team to address.
• Partner with org leads in product, engineering, UX research, design, and marketing to initiate, design, develop and scale zero-to-one products and drive business strategy through data-centric presentations.
• Define and maintain key objectives to align with the overarching goals of Rider, Marketplace, and Lyft.
• Apply modeling, advanced analytics, experimentation, and causal inference techniques to drive decision-making at Lyft.
• Drive cross-org impact and alignment, shaping product and business strategy through data-centric presentations.
• 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.

Experience:

• M.S. and at least 6 or Ph.D. and at least 4 years of relevant work experience.
• Degree in economics, applied math, statistics, engineering, or other quantitative fields; strong preference for M.S.+.
• Proficiency in SQL - able to write structured and efficient queries on large data sets.
• Fluency in programming, especially with data science and visualization libraries in Python or R.
• Technical leadership experience with a team of decisions and algorithms data scientists, interfacing VP or C-level executives.
• Experience designing and analyzing complex A/B experiments, and communicating results and recommendations to cross-functional stakeholders.
• Strong oral and written communication skills (i.e., business writing, presentation building & delivery, executive briefings).
• Ability to build relationships and collaborate with senior cross-functional stakeholders to drive shared outcomes.
• Experience working with ETL pipelines a plus.

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/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, Wednesdays, and Thursdays. 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 area is $176,000 - $220,000. 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology