Data Scientist, DoorDash

Analytics

$133-243k

Salary applicable to California and New York applicants only. + Equity for all locations

SQL

Python

Tableau

Looker

MatLab

Chartio

Junior and Mid level

Austin

Chicago

Los Angeles

New York

San Francisco Bay Area

Local food delivery platform

Job no longer available

Local food delivery platform

1001+ employees

B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Job no longer available

$133-243k

Salary applicable to California and New York applicants only. + Equity for all locations

SQL

Python

Tableau

Looker

MatLab

Chartio

Junior and Mid level

Austin

Chicago

Los Angeles

New York

San Francisco Bay Area

1001+ employees

B2CB2BMarketplaceFoodConsumer GoodsDeliveryeCommerce

Company mission

To empower local economies by connecting food lovers with great local restaurants

Job

Company

Role

Who you are

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!
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

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

Our take

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.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

13% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 10 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 HQ

Mid-Market, San Francisco, CA

Leadership

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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