About this opportunity
SupportFinity™ lists this Data Scientist / Senior Data Scientist opportunity in new york, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
About the Role
As a Data Scientist at DoorDash, 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
We’re Excited About You Because You Have…
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
Compensation
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
Benefits
DoorDash 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.
EEO Statement
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. DoorDash 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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Worksite address
new york, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.