Data Contributor Jobs at Lyft with Visa Sponsorship
Lyft hires Data Contributors to build and maintain the data pipelines, labeling systems, and quality frameworks that power its rideshare and delivery platforms. Lyft has a consistent track record of sponsoring international talent in data functions, supporting multiple visa pathways from OPT through permanent residence.
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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 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 performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas.
As an Analytics Lead, you will collaborate with our world class team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development.
In this role, you will help us tackle problems such as:
- How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base?
- How can we best merchandise Luxury rideshare products within the Lyft app? What product features or app changes would improve the rider experience and motivate riders to take more Luxury rides?
- How do coupons and incentives motivate riders and drivers in premium segments?
- What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?
Responsibilities:
- Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
- Uncover new areas of opportunity to grow Lyft’s Luxury portfolio. Manage, build, and automate models and reporting to provide actionable insights on the Lyft Luxury marketplace, including rider, driver, and general efficiency metrics. Utilize data and analyses to influence business strategy and product roadmaps
- Regularly partner with Product, Engineering, Operations, Marketing, and Data Science and collaborate with teammates in the Global Growth Org
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experience:
- 2-5+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- Experience in leading high visibility projects and influencing others in a cross-functional team environment
- Experience in communicating with and presenting to senior leaders and data storytelling
- Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
- Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results
SKILLS:
- Ability to independently break down large datasets and synthesize inputs from multiple sources
- Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
- Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
- Ability to manage, influence, negotiate, and inspire others in a fast-moving and ambiguous environment
- Ability to use data visualization tools to provide actionable insights and reusable frameworks
- Strong written and verbal communication skills for internal stakeholders, including senior leadership
- Strong product and user experience sense
- Excellent organization, planning skills, and attention to detail
- Advanced analytical and problem solving skills
- Proficiency in SQL
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 New York City area is $99,000-$123,750, 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 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 performing rigorous product deep dives, identifying opportunities for product enhancements, and measuring the impact of new features. The Global Growth team is at the forefront of innovation at Lyft, focused on expanding Lyft beyond North American rideshare’s core products. This includes our premium Luxury modes and Livery drivers, building a unified Lyft presence internationally, and enabling Autonomous Vehicles (AVs) domestically and abroad. These teams are at the center of innovation and the future of Lyft’s growth, and this role would be directly shaping the strategic roadmap for these crucial areas.
As an Analytics Lead, you will collaborate with our world class team of engineers, product managers, and designers to think critically about the current rider and driver experience and implement product enhancements to facilitate market growth. The ideal candidate can apply strong business acumen to propose product and marketplace changes, and is comfortable working with a highly cross functional team. This role will help define Lyft’s strategy for growing luxury modes, setting the strategic roadmap for pricing, driver pay, and product development.
In this role, you will help us tackle problems such as:
- How should we be pricing our premium Luxury products? Who are our current Luxury riders and what segment is most likely to grow our rider base?
- How can we best merchandise Luxury rideshare products within the Lyft app? What product features or app changes would improve the rider experience and motivate riders to take more Luxury rides?
- How do coupons and incentives motivate riders and drivers in premium segments?
- What is the value of offering a higher quality experience? How can we measure it? What metrics can we create?
Responsibilities:
- Develop frameworks and deliver analyses to guide decision-making and prioritization across functions
- Uncover new areas of opportunity to grow Lyft’s Luxury portfolio. Manage, build, and automate models and reporting to provide actionable insights on the Lyft Luxury marketplace, including rider, driver, and general efficiency metrics. Utilize data and analyses to influence business strategy and product roadmaps
- Regularly partner with Product, Engineering, Operations, Marketing, and Data Science and collaborate with teammates in the Global Growth Org
- Present findings, recommendations, and results to senior leadership and cross-functional stakeholders
Experience:
- 2-5+ years experience in management consulting, strategic data science/analytics roles in a technology company, or an equivalent analytical role in a high growth startup
- Experience in leading high visibility projects and influencing others in a cross-functional team environment
- Experience in communicating with and presenting to senior leaders and data storytelling
- Strong ability in building decision making frameworks and data analysis, able to understand business issues, analyze large amounts of data, and draw actionable conclusions
- Entrepreneurial self-starter - you naturally take ownership, look for opportunities, and do whatever it takes to drive results
SKILLS:
- Ability to independently break down large datasets and synthesize inputs from multiple sources
- Ability to think strategically about complex and unstructured business problems, leading to recommendations and action plans
- Ability to craft a compelling story and concisely present recommendations across teams and levels including both technical and non-technical audiences
- Ability to manage, influence, negotiate, and inspire others in a fast-moving and ambiguous environment
- Ability to use data visualization tools to provide actionable insights and reusable frameworks
- Strong written and verbal communication skills for internal stakeholders, including senior leadership
- Strong product and user experience sense
- Excellent organization, planning skills, and attention to detail
- Advanced analytical and problem solving skills
- Proficiency in SQL
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 New York City area is $99,000-$123,750, 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.
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Get Access To All JobsTips for Finding Data Contributor Jobs at Lyft Jobs
Frame Your Portfolio Around Lyft's Data Stack
Lyft's data infrastructure relies heavily on geospatial datasets, real-time trip data, and ML training pipelines. Tailor your portfolio to show annotation, validation, or ETL work on high-volume, time-sensitive datasets before you apply.
Target Lyft Roles That Align With Your Visa Timeline
If your OPT expires within six months, prioritize Data Contributor postings that mention H-1B sponsorship explicitly. Lyft's technology division regularly files H-1B petitions, and cap-subject filings must be submitted by April 1 for an October 1 start.
Get Your Credentials Verified Before the Offer Stage
Lyft uses E-Verify for employment eligibility. Have your I-20, EAD, or passport documentation current and ready. Delays in producing these during onboarding can push your start date past your authorized period of stay.
Ask Lyft Recruiters About Their Internal Visa Counsel
Large tech employers like Lyft typically work with a designated immigration law firm. During the offer stage, ask which firm handles their H-1B filings so you can align your own legal questions and avoid conflicting advice from outside attorneys.
Understand How Lyft's LCA Process Affects Your Start Date
Before Lyft can file your H-1B petition with USCIS, it must obtain a certified Labor Condition Application from the DOL. LCA certification typically takes seven business days, so your official offer timeline needs to account for this step.
Use Migrate Mate to Filter Data Contributor Openings by Visa Type
Not every Data Contributor posting at Lyft specifies which visa categories the team will support. Use Migrate Mate to filter open roles by the visa types relevant to your status and focus your applications on positions where sponsorship is confirmed.
Data Contributor at Lyft jobs are hiring across the US. Find yours.
Find Data Contributor at Lyft JobsFrequently Asked Questions
Does Lyft sponsor H-1B visas for Data Contributors?
Yes, Lyft sponsors H-1B visas for Data Contributor roles. As a large technology employer, Lyft works with immigration counsel to file cap-subject H-1B petitions each April for an October 1 start date, as well as cap-exempt filings when applicable. If you're transitioning from F-1 OPT, confirm with your Lyft recruiter that the specific role has budget approved for sponsorship before accepting an offer.
How do I apply for Data Contributor jobs at Lyft?
Applications go through Lyft's careers portal. Search for Data Contributor or related data operations titles and filter by the office locations where your visa status allows you to work. Migrate Mate also lists open Data Contributor positions at Lyft filtered by visa type, which helps you quickly identify roles where sponsorship is available before submitting your application.
Which visa types does Lyft commonly use for Data Contributor roles?
Lyft supports a range of visa categories for Data Contributor positions, including H-1B, E-3 for Australian citizens, TN for Canadian and Mexican nationals, and F-1 OPT and CPT for students in active programs. For candidates pursuing permanent residence, Lyft has also sponsored EB-2 and EB-3 Green Card pathways for qualified data professionals through the PERM labor certification process.
What qualifications does Lyft expect for Data Contributor roles?
Lyft's Data Contributor roles typically require proficiency in data labeling, annotation tools, or quality assurance workflows, often within machine learning or mapping contexts. Experience with structured and unstructured datasets at scale is valued. A bachelor's degree in a technical or analytical field is common, and candidates with demonstrated experience in rideshare, logistics, or geospatial data tend to stand out in the applicant pool.
How do I plan my timeline if I need H-1B sponsorship through Lyft?
The H-1B cap registration window opens in March, with USCIS conducting the lottery shortly after. If selected, Lyft can file your full petition by April 1 for an October 1 start. If you're on OPT and your authorization expires before October 1, you may be eligible for a 240-day cap-gap extension. Start conversations with Lyft's recruiting team at least four to five months before your OPT end date.
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