Data Scientist / Senior Data Scientist, DoorDash
Analytics
$133-243k
Salary range for California and New York-based applicants only. Plus equity
Local food delivery platform
Job no longer available
Local food delivery platform
1001+ employees
Job no longer available
$133-243k
Salary range for California and New York-based applicants only. Plus equity
1001+ employees
Company mission
To empower local economies by connecting food lovers with great local restaurants
Role
Who you are
- A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
- 4+ 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
What the job involves
- The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels
- 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
- 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
- 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
Otta's take
Theo Margolius
COO of Otta
DoorDash was an early entrant into the last-mile restaurant delivery business, which is now crowded with the likes of Uber Eats, Postmates and GrubHub. They offer restaurants an end-to-end delivery platform, generating new business and access to a network of delivery drivers.
To differentiate itself in the market, DoorDash focused on areas with fewer competitors and found success in this untapped market. Other factors, such as the company's targeting of restaurants which many not typically offer a delivery service, also contribute to its profitability. The company made its stock market debut in 2020 with one of the biggest IPOs of the year.
However, in light of increasing discontent around DoorDash's commission structure from restaurants, competition remains fierce. The business recently responded by publishing a transparent fee structure, but the number of options open to restaurants means DoorDash must fight to keep its customers loyal. Despite this, by focusing on consumer retention, logistics and technology, the company is likely able to maintain its existing growth and revenue.
Insights
Company
Funding (last 2 of 11 rounds)
Jun 2020
$400m
SERIES H
Nov 2019
$100m
SERIES G
Total funding: $2.5bn
Company benefits
- Company stock options
- Work from home stipend
- Unlimited paid time off policy
- Work from home opportunities
- Health insurance
Company values
- We are doers
- We are learners
- We are leaders
- We are one team
Company HQ
Mid-Market, San Francisco, CA
Founders
Tony Xu
(CEO)Tony studied at UCB and worked as a Matrix Partners Associate while studying for an MBA at Stanford. He combined this experience to co-found DoorDash in January 2013, and has served as CEO since June 2013.
Stanley Tang
(CPO)Previously studied Computer Science at Stanford, before working at Facebook as a Software Engineer.
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