Data Science Manager Visa Sponsorship Jobs in Washington DC
Washington DC's data science manager roles are concentrated across federal agencies, government contractors, and policy-focused organizations like Booz Allen Hamilton, Leidos, Deloitte Federal, and the World Bank. Many positions require managing teams that extract insights from large-scale public data, making advanced degrees and security clearance eligibility common factors in hiring and visa sponsorship decisions.
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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.
Data Science Manager Job Roles in Washington DC
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Search Data Science Manager Jobs in Washington DCData Science Manager Jobs in Washington DC: Frequently Asked Questions
Which companies sponsor visas for data science managers in Washington DC?
Federal contractors and consulting firms are the most active sponsors in the DC area. Organizations like Booz Allen Hamilton, Leidos, SAIC, Deloitte, and Accenture Federal Services regularly file H-1B petitions for data science managers. International bodies such as the World Bank and IMF also sponsor managers through specialized visa categories. Sponsorship activity varies by contract pipeline and security clearance requirements, so it's worth researching recent LCA filings through the DOL disclosure database.
Which visa types are most common for data science manager roles in Washington DC?
The H-1B is the most common visa for data science managers in DC, given that the role typically requires a bachelor's or advanced degree in computer science, statistics, or a related field, meeting the specialty occupation standard. Managers with exceptional research credentials may qualify for the O-1A. Senior professionals transferring within multinational organizations like the World Bank or consulting firms may also enter on L-1A intracompany transferee visas.
How to find data science manager visa sponsorship jobs in Washington DC?
Migrate Mate is built specifically for international job seekers and filters data science manager roles in Washington DC by visa sponsorship history. Rather than sorting through thousands of unfiltered postings, you can browse roles where employers have a documented track record of sponsoring work visas. This is particularly useful in the DC market, where federal contractor positions sometimes carry clearance requirements that affect sponsorship eligibility.
Which areas in Washington DC have the most data science manager sponsorship jobs?
Most sponsoring employers for data science managers are concentrated in DC proper and the broader National Capital Region. The Rosslyn-Ballston corridor in Northern Virginia, Bethesda and Rockville in Maryland, and downtown DC near K Street host the highest density of consulting firms and federal agencies with active data science teams. Many government contractor offices cluster near agency headquarters in Arlington and Crystal City.
What DC-specific factors should data science managers know about visa sponsorship?
Security clearance eligibility is a practical consideration unique to the DC market. Many federal contractor roles list clearance as preferred or required, and non-US citizens face significant constraints in obtaining clearances, which can narrow the pool of sponsoring employers. Candidates often find better sponsorship opportunities at civilian-facing consultancies, international organizations, and commercial tech teams within larger DC-area firms rather than cleared defense contractor divisions.
What is the prevailing wage for sponsored data science manager jobs in Washington DC?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.
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