{"id":3426264,"url":"https://alion.io/job/doordash-director-analytics-dashos","title":"Director, Analytics, DashOS","company":{"id":3685,"name":"DoorDash","domain":"doordash.com","url":"https://alion.io/company/doordash-usa","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":79,"open_postings":81,"ghost_share":0.012,"stale_share":0.617,"repost_share":0.012,"time_to_fill_p50_days":65,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","San Francisco, United States","Sunnyvale, United States","Seattle, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":255000,"max":375000,"currency":"USD","period":"year","gross":null,"usd_annual":375000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-28T18:39:34Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-08T11:39:00Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"About the Team\nDashOS is DoorDash’s platform for helping restaurants grow. It connects Marketplace, direct ordering, reservations, loyalty, and marketing (including SevenRooms) so restaurants can recognize the same guest across every channel, personalize how they bring them back, and use AI to automate manual work, all alongside the systems they already use.\nOur portfolio spans 0→1 bets, early-stage products, and rapidly scaling offerings, so our work sits at the intersection of product innovation, commercialization, and long-term platform strategy. The analytics and data science team helps define the right metrics, guide product and go-to-market investments, and turn new product ideas into durable outcomes for restaurants and for DoorDash.\nAbout the Role\nWe’re looking for a Director of Data Science to lead a broad and high-impact portfolio supporting DashOS. In this role, you will shape how we measure success, guide product and commercial strategy, and build the data foundations that help teams move quickly and make better decisions across products at different stages of maturity. Success in this role means building a high-performing team, raising the quality and speed of decision-making, and helping DoorDash identify and scale the highest-ROI opportunities across the portfolio. You will report into a Senior Director on our Merchant Analytics team in our Analytics organization.\nYou’re excited about this opportunity because you will…\nLead and grow a team of data science and analytics leaders and practitioners across a portfolio that spans 0→1 products, products still being shaped and commercialized, and businesses already scaling quickly.\nOwn the analytical direction for the portfolio, including experimentation, KPI design, forecasting, decision support, funnel analytics, and foundational measurement.\nPartner closely with Product, Engineering, Strategy & Operations, and Go-to-Market leaders to influence roadmap, commercialization, and investment decisions.\nBuild the operating system for decision-making by improving instrumentation, creating single sources of truth, and connecting short-term execution with long-term business outcomes.\nOperate with broad scope and high autonomy in a startup-like environment while benefiting from the support and talent density of a scaled analytics organization.\nWe’re excited about you because…\nYou have 10+ years of experience in Data Science, Analytics, or a related quantitative field, including significant experience leading senior teams and developing managers.\nYou have strong product and business analytics judgment, with a track record of defining metrics, building decision frameworks, and influencing strategy in ambiguous environments.\nYou have deep expertise in experimentation and causal inference, and you are comfortable making decisions in settings with imperfect data, evolving products, and small or noisy samples.\nYou bring hands-on technical fluency in SQL and statistical analysis, and you can go deep enough to raise the technical bar for the team while operating effectively at a leadership level.\nYou have experience working cross-functionally with Product, Engineering, and business leaders, and can translate complex analysis into clear recommendations that drive action\nCompensation\nThe successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.\nIn addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.\nDoorDash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.\nTo learn more about our benefits, visit our careers page here.\nSee below for paid time off details:\nFor salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.\n For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).\nThe national base pay range for this position within the United States, including Illinois and Colorado.\n$255,000—$375,000 USD\nAbout DoorDash\nAt 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.\nDoorDash 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.\nOur Commitment to Diversity and Inclusion\nWe’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.\nStatement 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.\nPursuant 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.\nIf you need any accommodations, please inform your recruiting contact upon initial connection.\n\nNotice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only\nWe used 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 provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.\nThe Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: https://getcovey.com/nyc-local-law-144.\nBeware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring - learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash.","description_format":"text","description_chars":8751,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Life insurance","Parental leave"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Delivery","Marketplaces"],"lifecycle":[{"event":"open","at":"2026-10-28T22:35:09Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 504 · green card filings: 110","filings_12m":504,"filings_prev_12m":584,"green_card_filings_12m":110,"median_offered_wage_usd":172500,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":135}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":10,"expected_fill_days":65,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":{"stated_usd_annual":375000,"is_top_pay":true},"html_url":"https://alion.io/job/doordash-director-analytics-dashos","json_url":"https://alion.io/job/doordash-director-analytics-dashos.json","meta":{"generated_at":"2026-11-08T14:29:23Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30623,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":3685},"rest":"https://alion.io/mcp/rest/get_company?id=3685"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdoordash-director-analytics-dashos"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdoordash-director-analytics-dashos"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdoordash-director-analytics-dashos"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/doordash-director-analytics-dashos\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdoordash-director-analytics-dashos"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3426264}},{"tool":"search_jobs","arguments":{"company":"doordash.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3426264},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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