Data Scientist Jobs at Lyft with Visa Sponsorship
Lyft hires Data Scientists across product, pricing, mapping, and driver experience teams, and the company has a consistent track record of sponsoring work visas for this function. If you're on an H-1B, E-3, F-1 OPT, or similar status, Lyft's data roles are a realistic target.
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Get Access To All JobsINTRODUCTION
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 Lyft’s 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 will drive a mission critical to both the safety of our community and the financial resilience of our platform. You’ll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.
Responsibilities:
- Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.
- Partner with product managers, engineers, actuaries, claims, 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.
- Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.
Experience:
- Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience.
- 5+ 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.
- Experience with insurance claims analytics a plus.
- 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 with company match 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.
- Monthly Lyft credits and complimentary Lyft Pink membership.
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.
LOCATION:
The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.
INTRODUCTION
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 Lyft’s 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 will drive a mission critical to both the safety of our community and the financial resilience of our platform. You’ll partner cross-functionally with Product, Engineering, Actuarial and Claims teams to transform complex data into actionable strategies. You will serve as an analytical lead for claims and road safety initiatives, designing experiments and predictive models aimed at reducing accident frequency and claim severity to optimize long-term risk outcomes. If you are a problem-solver eager to apply high-level data science to real-world safety and financial challenges, this role offers a direct path to high-impact innovation.
Responsibilities:
- Leverage large-scale data and analytic frameworks to identify high-impact opportunities to reduce the total cost of claims.
- Partner with product managers, engineers, actuaries, claims, 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.
- Collaborate with the Claims team to identify high-impact opportunities where data-driven interventions can reduce the total cost of claims.
Experience:
- Degree in a quantitative field such as statistics, actuarial science, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience.
- 5+ 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.
- Experience with insurance claims analytics a plus.
- 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 with company match 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.
- Monthly Lyft credits and complimentary Lyft Pink membership.
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.
LOCATION:
The expected base pay range for this position in the San Francisco area is $148,000 - $185,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are 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.
See all 25+ Data Scientist at Lyft jobs
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Get Access To All JobsTips for Finding Data Scientist Jobs at Lyft Jobs
Align Your Portfolio to Lyft's Data Problems
Lyft's Data Scientists work on marketplace dynamics, surge pricing, and rider retention. Projects that demonstrate experimentation, causal inference, or real-time decision modeling signal direct relevance and make sponsorship feel like a low-risk hire.
Time Your Application Around H-1B Cap Deadlines
If you need H-1B sponsorship, Lyft must register you in USCIS's March lottery for an October 1 start. Factor this into your job search timeline so you're not accepting an offer too late for the current registration window.
Distinguish Yourself with Causal and ML Experimentation Work
Lyft's data science interviews emphasize A/B testing design, metric ownership, and applied ML. Candidates who can speak to experiment sequencing, variance reduction, and production model deployment move faster through technical rounds than those with purely analytical backgrounds.
Use Migrate Mate to Track Lyft's Open Roles by Visa Type
Data Scientist openings at Lyft vary by team and sponsorship eligibility. Use Migrate Mate to filter and monitor active postings that match your visa type, so you're applying to roles where sponsorship is already confirmed.
Data Scientist at Lyft jobs are hiring across the US. Find yours.
Find Data Scientist at Lyft JobsFrequently Asked Questions
Does Lyft sponsor H-1B visas for Data Scientists?
Yes, Lyft sponsors H-1B visas for Data Scientists. The company files petitions through USCIS and works with immigration counsel to support hires who need sponsorship. If you're subject to the H-1B cap, your employer must register you during the annual March lottery period, with employment typically starting October 1 of that year.
How do I apply for Data Scientist jobs at Lyft?
Apply directly through Lyft's careers page, or use Migrate Mate to browse and filter Lyft's open Data Scientist roles by visa sponsorship type. Most roles require a strong take-home or technical interview component covering statistics, experimentation, and SQL. Tailor your application to the specific team, since Data Science at Lyft spans pricing, growth, and maps functions.
Which visa types does Lyft commonly sponsor for Data Scientist roles?
Lyft sponsors a broad range of visa categories for Data Scientists, including H-1B, E-3, TN, F-1 OPT, F-1 CPT, J-1, and Green Card pathways such as EB-2 and EB-3. The right category depends on your nationality and current status. Australian citizens are well-positioned for E-3, while Canadian and Mexican nationals may qualify for TN status.
What qualifications does Lyft expect from Data Scientist candidates?
Lyft typically looks for a graduate degree in a quantitative field such as statistics, computer science, or economics, alongside hands-on experience with experimentation design, causal inference, and machine learning in production. Proficiency in Python and SQL is standard. Roles on the marketplace or pricing teams often weight applied ML experience more heavily than exploratory analytics work.
How do I manage my visa timeline during the Lyft hiring process?
If you're on F-1 OPT, confirm your OPT expiration date before accepting an offer, since H-1B cap-gap protection only applies if USCIS receives a timely petition before your OPT expires. For H-1B-dependent candidates, align your offer acceptance with the March registration window. TN and E-3 applicants have more flexibility since those categories have no annual cap or lottery.
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