Data Science Manager Jobs at DoorDash with Visa Sponsorship
DoorDash hires Data Science Managers to lead teams working on marketplace optimization, logistics modeling, and merchant analytics. The company has a consistent track record of sponsoring work visas for technical leadership roles, making it a realistic target if you're building a long-term career in the U.S.
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Get Access To All JobsAbout 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.
See all 49+ Data Science Manager at DoorDash jobs
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Get Access To All JobsTips for Finding Data Science Manager Jobs at DoorDash Jobs
Frame your portfolio around marketplace problems
DoorDash's data science work centers on real-time logistics, dynamic pricing, and demand forecasting. Prepare case studies that show you've led teams solving similar scaled marketplace or platform problems, not just standalone analytical projects.
Target roles that align with OFLC specialty occupation criteria
For H-1B sponsorship, your Data Science Manager title must qualify as a specialty occupation under DOL standards. Roles with clear requirements for a degree in statistics, computer science, or a quantitative field carry the strongest petitions.
Negotiate your start date around I-129 timelines
If you need a new H-1B petition rather than a transfer, standard USCIS processing can take several months. Align your offer negotiation so your proposed start date realistically accommodates filing and adjudication, including whether premium processing is available.
Use Migrate Mate to surface open Data Science Manager roles at DoorDash
Filtering for sponsorship-confirmed roles saves time you'd otherwise spend cold-emailing recruiters. Migrate Mate lets you browse verified Data Science Manager openings at DoorDash alongside sponsorship history, so you're applying with full context.
Understand how OPT cap-gap protection affects your candidacy
If you're on F-1 OPT and your H-1B is selected in the lottery, USCIS cap-gap rules extend your work authorization through September 30 of the fiscal year. Communicate this clearly to DoorDash's recruiting team so your authorization status is never misread as a gap.
Data Science Manager at DoorDash jobs are hiring across the US. Find yours.
Find Data Science Manager at DoorDash JobsFrequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Science Managers?
Yes, DoorDash sponsors H-1B visas for Data Science Manager roles. As a large technology company operating under E-Verify requirements, DoorDash has a structured process for filing H-1B petitions. For new H-1B holders, sponsorship is subject to the annual USCIS lottery, so timing your application cycle correctly matters. Transfers from an existing H-1B are not lottery-dependent and can move faster.
How do I apply for Data Science Manager jobs at DoorDash?
You can apply directly through DoorDash's careers site or browse verified openings on Migrate Mate, which surfaces roles confirmed for visa sponsorship. Data Science Manager positions at DoorDash typically move through a recruiter screen, a technical case or take-home, and multiple panel interviews covering statistical modeling, team leadership, and product sense. Preparing a clear narrative around team-scaled impact helps at every stage.
Which visa types does DoorDash commonly use for Data Science Manager roles?
DoorDash sponsors a range of visa categories for this function, including H-1B, H-1B1 for Chilean and Singaporean nationals, E-3 for Australian citizens, TN for Canadian and Mexican professionals, F-1 OPT and CPT for recent graduates, J-1, and Green Card pathways including EB-2 and EB-3. The right category depends on your nationality, degree, and how long you've been in the U.S.
What qualifications does DoorDash look for in a Data Science Manager?
DoorDash typically expects a graduate degree in statistics, machine learning, economics, or a related quantitative field, combined with experience managing data science teams in a high-growth technology environment. Strong candidates demonstrate fluency in experimentation frameworks, causal inference, and cross-functional collaboration with product and engineering. For visa purposes, the degree-to-role alignment also supports the specialty occupation requirement in H-1B petitions.
How do I plan my timeline if DoorDash is sponsoring my H-1B?
The H-1B cap lottery opens in March each year for an October 1 start date. If your registration is selected, DoorDash files the full petition with USCIS. Standard processing takes several months, but premium processing speeds adjudication to roughly 15 business days. If you're transferring from an existing H-1B, you can start as soon as USCIS receives the petition, without waiting for a new fiscal year.
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