Data Scientist / Senior Data Scientist, Analytics
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 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.
Please apply here for all non-managerial levels within the following analytics teams:
- 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'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!
You're Excited About This Opportunity 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 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 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.
The base pay for this position ranges from our lowest geographical market up to our highest geographical market within California, Colorado, District of Columbia, Hawaii, New Jersey, New York and Washington.
I4
$113,100—$166,300 USD
I5
$137,700—$202,500 USD
I6
$163,100—$239,800 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 with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.
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.
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