Data Manager Jobs at DoorDash with Visa Sponsorship
DoorDash hires Data Managers to own the pipelines, governance frameworks, and analytics infrastructure that power its logistics platform. The company has a consistent track record of sponsoring international talent in data roles, supporting multiple visa pathways from OPT through permanent residence.
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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.
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Get Access To All JobsTips for Finding Data Manager Jobs at DoorDash Jobs
Tailor your resume to DoorDash's data stack
DoorDash's data infrastructure runs on tools like Snowflake, Airflow, and dbt. Listing these by name, alongside experience with data quality frameworks or metadata governance, signals you can contribute from day one in their environment.
Target roles under DoorDash's engineering org
Data Manager positions at DoorDash often sit within product or platform engineering teams. Filtering job listings by those org structures, rather than searching by title alone, surfaces relevant openings that generic keyword searches miss.
Time your application around the H-1B cap
If you need H-1B sponsorship, USCIS opens registration each March for an October 1 start. Targeting DoorDash's interview cycles in late fall through winter gives you the best chance of receiving an offer in time to register.
Use Migrate Mate to find open Data Manager roles
Search Migrate Mate to browse verified Data Manager openings at DoorDash filtered by visa type. This saves time you would otherwise spend manually cross-referencing job boards with DOL disclosure data to confirm sponsorship eligibility.
Prepare for the PERM audit trail early
If DoorDash moves you toward a Green Card via PERM, DOL requires documented recruitment records proving no qualified U.S. workers were available. Keeping your own records of the hiring process from the start protects both you and your employer if an audit occurs.
Data Manager at DoorDash jobs are hiring across the US. Find yours.
Find Data Manager at DoorDash JobsFrequently Asked Questions
Does DoorDash sponsor H-1B visas for Data Managers?
Yes, DoorDash sponsors H-1B visas for Data Manager roles. The company has a consistent history of filing petitions for technical and data-focused positions. Because the H-1B is subject to an annual cap and lottery through USCIS, you'll want to secure an offer well before the March registration window to stay on track for an October 1 start date.
Which visa types does DoorDash commonly sponsor for Data Manager roles?
DoorDash sponsors a range of visa categories for Data Manager 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, and J-1 for eligible exchange visitors. Green Card sponsorship through EB-2 or EB-3 classifications is also available for qualifying candidates on a longer-term path.
How do I apply for Data Manager jobs at DoorDash?
You can find and apply for Data Manager roles at DoorDash directly through their careers page or through Migrate Mate, which filters openings by visa sponsorship type so you can confirm eligibility before you apply. Applications typically involve a recruiter screen, a technical assessment focused on data modeling or governance, and several rounds of interviews with the hiring team and cross-functional stakeholders.
What qualifications does DoorDash expect for Data Manager roles?
DoorDash generally looks for candidates with a bachelor's degree in computer science, information systems, statistics, or a related field, along with hands-on experience managing large-scale data pipelines and governance programs. Proficiency in SQL is standard, and familiarity with cloud data warehouses like Snowflake or BigQuery, plus experience with metadata or data quality tooling, strengthens your candidacy significantly.
How do I manage my visa status timeline during the DoorDash hiring process?
If you're on F-1 OPT, confirm your OPT expiration date before your first interview and flag any STEM extension eligibility to your recruiter early. DoorDash's offer and onboarding process takes time, and USCIS requires H-1B petitions to be filed before OPT expires if you need a status bridge. Building a 60 to 90 day buffer between your expected start date and your current status expiration gives the legal team enough runway to file without premium processing.
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