Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist, Brand Analytics
San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
Actively hiring, first seen by us 17 hours ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- Work setting
- Not stated
- Employment
- Not stated
Before you apply
- Employer’s visa record
- 889 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
What you’ll work on
Full postingAs a Senior Data Scientist leading brand analytics, you’ll use your quantitative background in brand analytics to define how we measure the impact of brand investment and how brand health affects our business.
You’re excited about this opportunity because you will…
Define brand metrics, KPIs and measurement strategy with Marketing leadership
Combine brand lift surveys, internal metrics and incrementality tests into one view of brand impact
Build analytics experiments, reports and dashboards using SQL, R, Python and AI tools
Use hypothesis testing or causal inference to validate findings and make recommendations
Identify and measure levers that move essential metrics
From the employer’s posting
As a Senior Data Scientist leading brand analytics, you’ll use your quantitative background in brand analytics to define how we measure the impact of brand investment and how brand health affects our business. You’ll report to the leader of Marketing Analytics, and partner closely with our Brand Marketing team. If you enjoy finding patterns amidst chaos, and have experience using brand analytics to affect revenue, growth, and investment, we're looking for someone like you!
You’re excited about this opportunity because you will…
Partner closely with Marketing leadership to define metrics, KPIs, and a measurement strategy for the DoorDash brand
Use brand lift survey data, internal metrics, and incrementality testing to create a holistic view of brand impact
Build full-cycle analytics experiments, reports, and dashboards using cutting-edge AI tooling, SQL, R, Python, or other scripting and statistical tools
Produce recommendations and use statistical techniques and hypothesis testing or causal inference to validate your findings
Identify and measure levers to help move essential metrics and make recommendations
About DoorDash USA
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.
In the employer’s words · Read in context
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 14, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 8 and day 60.
At DoorDash USA, jobs usually come down by about day 54.
From 11,873 similar postings that came down, and 46 of DoorDash USA’s. Coming down is not always a hire.
DoorDash USA is hiring
33 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Takes jobs down at a usual pace
- 6% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- MATLAB
- Python
- R
- SAS
- SQL
Where the posting names them
- Experience with marketing and brand measurement, MMM, attribution, incrementality testing, and brand lift surveys - Expertise of SQL queries, ETL, A/B Testing, Causal Inference, survey analytics, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python - Experience leveraging AI coding tools to improve productivity and harden repeatable processes without sacrificing accuracy or code quality (e.g., Claude Code, Cursor)
- Use brand lift survey data, internal metrics, and incrementality testing to create a holistic view of brand impact - Build full-cycle analytics experiments, reports, and dashboards using cutting-edge AI tooling, SQL, R, Python, or other scripting and statistical tools - Be a champion of Brand Analytics within the team and advocate and educate on broader incorporation of leading concepts into Marketing and Consumer plans
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About DoorDash USA
- People
- About 31,400 in 2025, up 32% from the year before.Annual report (SEC Form 10-K)
- Company
- Listed as DASH.
- H-1B visas
- 223 approved for new hires in fiscal 2025.US Citizenship and Immigration Services
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
About the Team
The Paid Marketing Analytics team is looking for an experienced Senior Data Scientist to lead brand analytics at DoorDash. This Data Scientist will partner closely with senior Marketing leaders to define our brand measurement approach and guide our brand investment strategy and decision-making. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.
About the Role
As a Senior Data Scientist leading brand analytics, you’ll use your quantitative background in brand analytics to define how we measure the impact of brand investment and how brand health affects our business. You’ll report to the leader of Marketing Analytics, and partner closely with our Brand Marketing team. If you enjoy finding patterns amidst chaos, and have experience using brand analytics to affect revenue, growth, and investment, we're looking for someone like you!
You’re excited about this opportunity because you will…
- Influence brand strategy, define brand measurement for DoorDash, and play a crucial role in sharing the DoorDash brand externally with our customers.
- Partner closely with Marketing leadership to define metrics, KPIs, and a measurement strategy for the DoorDash brand
- Work at the intersection of modeling, brand strategy, and business decision making
- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
- Use brand lift survey data, internal metrics, and incrementality testing to create a holistic view of brand impact
- Build full-cycle analytics experiments, reports, and dashboards using cutting-edge AI tooling, SQL, R, Python, or other scripting and statistical tools
- Be a champion of Brand Analytics within the team and advocate and educate on broader incorporation of leading concepts into Marketing and Consumer plans
- Produce recommendations and use statistical techniques and hypothesis testing or causal inference to validate your findings
- Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
- Identify and measure levers to help move essential metrics and make recommendations
- Work backwards from understanding and sizing problems to ideating solutions
We’re excited about you because you have…
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- 5+ years of experience in brand and marketing analytics owning brand measurement at the intersection of modeling, brand strategy, and business decision making
- Demonstrated experience leading the design, implementation, and ongoing operation of an end-to-end brand measurement system, including KPI selection and validation, ongoing brand tracking, campaign lift measurement, and integration with MMM and incrementality testing.
- Experience leading brand modeling, working directly with clients, and translating the findings into decisions that drive business growth.
- Deep understanding of brand marketing and paid media, with a track record of translating measurement findings into decisions about audiences, investment, and channel mix, and evaluating the relationship between brand health and downstream business outcomes.
- Understanding of brand health metrics, consumer attitudes, audience strategy, creative effectiveness, and how media channels contribute across the funnel
- Experience with marketing and brand measurement, MMM, attribution, incrementality testing, and brand lift surveys
- Expertise of SQL queries, ETL, A/B Testing, Causal Inference, survey analytics, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
- Experience leveraging AI coding tools to improve productivity and harden repeatable processes without sacrificing accuracy or code quality (e.g., Claude Code, Cursor)
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Gem.
How it works: Gem assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Gem or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.
Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page.
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
Compensation
The 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.
In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
DoorDash 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.
To learn more about our benefits, visit our careers page here.
See below for paid time off details:
- For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
- 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).
The national base pay ranges for this position within the United States, including Illinois and Colorado.
I4
$124,100—$182,500 USD
I5
$152,000—$223,500 USD
I6
$184,300—$271,000 USD
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.
Notice Regarding Use of AI and Automated Tools: To streamline our hiring process, DoorDash utilizes an automated recruitment tool called Metaview.
How it works: Metaview assists our recruiting team by evaluating job related qualifications and characteristics in connection with hiring. The tool is designed and used to support - rather than replace - human decision-making; trained personnel make final decisions with meaningful human review and oversight, and DoorDash does not use Metaview or other AI-enabled tool in a manner that has the effect of subjecting applicants or employees to discrimination based on any protected characteristic or proxy or for engaging in any protected activity under applicable law.
Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy https://help.doordash.com/en-us/legal/article/ax-privacy-notice and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Metaview is publicly available for review at https://trust.warden-ai.com/metaview/application-review.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
Data Retention, Privacy & Bias Audit: Data collected during this process is retained in accordance with our Candidate Privacy Policy and applicable state laws. In compliance with New York City Local Law 144, the independent bias audit summary for Gem is publicly available for review at our Careers Page. 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.