Data Scientist/Senior Data Scientist
Listed on 2026-06-19
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IT/Tech
Data Analyst, Data Scientist
Location: New York
About the Team
The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision‑making across the company. Data Scientists uncover insights and turn them into recommendations, driving decisions throughout the organization. Analytics is integral to all operational areas.
Available levels:
- Consumer & Growth
- Business Operations
- Dasher & Logistics
- Customer Experience & Integrity
- Merchant, Ads & Sales
- New Verticals
- International Data Science
As a Data Scientist at Door Dash, you will mentor other scientists and dive into large datasets to guide decision‑making. Challenges include customer acquisition, fraud, marketing, supply and demand, new city launches, marketplace efficiency, and more.
You’ll Be Excited Because You Will…- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
- Build full‑cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
- Work with and mentor junior analysts on how to use more advanced methods and solve challenges
- Produce recommendations and use statistical techniques and hypothesis testing 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
- Report against our goals by identifying essential metrics and building executive‑facing dashboards to track progress
- Collaborate with engineering to implement, document, validate, and monitor our logging
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- 2+ years of experience in data analytics, consulting, or related role
- Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
- Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
- Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
- The insight to take ambiguous problems and solve them in a structured, hypothesis‑driven, data‑supported way
The successful candidate’s starting pay will fall within the following ranges, with additional opportunities for equity grants.
- I4: $124,100–$182,500 USD
- I5: $152,000–$223,500 USD
- I6: $184,300–$271,000 USD
Door Dash offers a comprehensive benefits package including 401(k) with matching, paid parental leave, wellness benefits, commuter benefits, paid time off, sick leave, medical, dental, vision, 11 paid holidays, disability and basic life insurance, family‑forming assistance, mental health program, and more.
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 accrues approximately 1 hour for every 25.97 hours worked, and paid sick time accrues 1 hour for every 30 hours worked.
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. Door Dash will consider all qualified applicants, including those with arrest or conviction records, in a manner consistent with applicable regulations.
If you need any accommodations, please inform your recruiting contact upon initial connection.
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