Data Contributor Jobs at DoorDash with Visa Sponsorship
Data Contributor roles at DoorDash sit at the intersection of logistics intelligence and consumer behavior analytics, supporting the data pipelines that drive one of the largest delivery platforms in the U.S. DoorDash has a consistent track record of sponsoring work visas for data professionals across a range of visa categories.
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About the Team
Logistics Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. Our mandate for logistics is to fulfill our promise to Dashers, Consumers and Merchants by achieving seamless and reliable deliveries as efficiently as possible.
About the Role
We're hiring a Data Science Manager to lead analytics for the logistics pod and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into our Director, Data Science on the Dasher Logistics Analytics team in our Analytics organization.
You're excited about this opportunity because you will…
- Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash's most important product, business, and GTM priorities.
- Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics.
- Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes.
- Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment.
- Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time.
We're excited about you because…
- You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
- You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
- You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
- You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
- You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.

About the Team
Logistics Analytics helps DoorDash make better product, business, and go-to-market decisions through high-quality analytics, predictive modeling, experimentation, and strategic thought partnership. Our mandate for logistics is to fulfill our promise to Dashers, Consumers and Merchants by achieving seamless and reliable deliveries as efficiently as possible.
About the Role
We're hiring a Data Science Manager to lead analytics for the logistics pod and help shape high-priority product and business decisions. In this role, you will lead a team of data scientists, partner closely with Strategy & Operations, Product, Engineering, and business leaders, and turn ambiguous questions into clear recommendations that influence roadmap and plan outcomes. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and ensuring analytics work is tightly connected to measurable business impact. You will report into our Director, Data Science on the Dasher Logistics Analytics team in our Analytics organization.
You're excited about this opportunity because you will…
- Lead and develop a team of data scientists responsible for high-impact analytics, predictive modeling, and decision support tied to DoorDash's most important product, business, and GTM priorities.
- Partner closely with Strategy & Operations, Product, Engineering, and business leaders to shape decisions, influence roadmaps, and improve plan-critical metrics.
- Define success metrics, build measurement frameworks and predictive models, and use experimentation and analysis to connect product and operational levers to business outcomes.
- Build a high-performing pod that balances analytical rigor, strong prioritization, and clear storytelling in a fast-moving environment.
- Scale reusable analytics frameworks, tools, models, and best practices that make the broader organization more effective over time.
We're excited about you because…
- You have 6+ years of experience in analytics, data science, or a related quantitative field, including experience leading complex, ambiguous work from problem framing through recommendation.
- You have experience managing and developing data scientists or analysts and know how to set a high bar on quality, ownership, and impact.
- You have strong analytical fundamentals, including experimentation, predictive modeling, metric design, and translating data into actionable business decisions.
- You are an excellent cross-functional partner and communicator who can influence stakeholders and tailor your message from working teams to senior leadership.
- You are highly effective at prioritization and know how to focus your team on the highest-impact work in a fast-moving environment.
Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
About DoorDash
At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
Our Commitment to Diversity and Inclusion
We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on "protected categories," we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
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Get Access To All JobsTips for Finding Data Contributor Jobs at DoorDash Jobs
Align your portfolio to DoorDash's data stack
DoorDash runs on real-time data pipelines at massive scale. Showcase projects involving SQL, Python, ETL workflows, or behavioral event tracking. Recruiters for Data Contributor roles respond to candidates who demonstrate experience with high-throughput, production-grade data environments, not just academic or small-scale work.
Target roles explicitly tied to core marketplace functions
DoorDash's Data Contributor openings cluster around merchant analytics, dasher operations, and consumer growth. Applying to roles aligned with these verticals increases your chances of reaching a hiring team that has an active headcount and a sponsorship precedent already established for the function.
Clarify your visa category before the offer stage
DoorDash sponsors multiple visa types, including H-1B, E-3, TN, and F-1 OPT. Before your final interviews, know which category applies to you and whether you need cap-subject H-1B filing in April or can transfer an existing status. Entering offer negotiations without this clarity can stall the process significantly.
Understand how F-1 OPT timing affects your start date
If you're on F-1 OPT, USCIS recommends submitting your EAD application at least 90 days before your program end date. Coordinate your anticipated DoorDash start date against your OPT authorization window so your employment authorization is active before your first day.
Use Migrate Mate to filter Data Contributor openings by visa type
Identifying which open roles at DoorDash align with your visa category saves weeks of guesswork. Migrate Mate lets you filter DoorDash's Data Contributor listings by the specific visa types they support, so you can prioritize applications where your sponsorship pathway is already confirmed.
Prepare for PERM labor certification if targeting a Green Card
If DoorDash initiates a Green Card through the EB-2 or EB-3 pathway, the DOL's PERM process requires documenting that no qualified U.S. worker was available for your specific role. Keep records of your job description, required qualifications, and any recruitment-related communications from the time of your hiring.
Data Contributor at DoorDash jobs are hiring across the US. Find yours.
Find Data Contributor at DoorDash JobsFrequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Contributors?
Yes, DoorDash sponsors H-1B visas for Data Contributor roles. Because the H-1B is subject to an annual cap and lottery, timing matters, and your employer must file a registration in March for an October 1 start date. DoorDash has an established process for this, so raise your visa situation early in the interview process to align on the timeline.
How do I apply for Data Contributor jobs at DoorDash?
You can browse and apply for Data Contributor roles at DoorDash directly through Migrate Mate, which filters open positions by visa sponsorship type so you can confirm eligibility before applying. When applying, tailor your resume to reflect data infrastructure, pipeline work, and any tools common to marketplace or logistics analytics environments.
Which visa types does DoorDash commonly use for Data Contributor roles?
DoorDash sponsors a broad range of visa categories for Data Contributor positions, including H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian citizens, TN for Canadian and Mexican nationals, F-1 OPT and CPT for recent graduates, J-1, and employment-based Green Cards through the EB-2 and EB-3 pathways. The right category depends on your nationality and current immigration status.
What qualifications does DoorDash look for in Data Contributor candidates?
DoorDash typically looks for proficiency in SQL and at least one scripting language such as Python, experience building or maintaining data pipelines, and familiarity with large-scale analytics environments. A background in computer science, statistics, or a related quantitative field is common. Roles closer to the data engineering side may require experience with distributed systems or cloud-based data warehouses.
How do I time my application if my OPT or visa status is expiring soon?
If you're in a 60-day grace period or nearing the end of your OPT, be upfront with DoorDash's recruiting team from the first conversation. For H-1B transfers or cap-exempt filings, USCIS can process petitions with a relatively short lead time, though premium processing is available if speed is critical. For cap-subject H-1B cases, an April lottery registration is required, which may mean timing your offer for a cohort cycle.
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