Connecting food lovers with local restaurants
DoorDash is a leading local food delivery platform headquartered in San Francisco, CA, connecting food lovers with over 450,000 restaurants across the U.S. and Canada. Since its IPO in 2020, which was one of the largest of the year, DoorDash has raised $2.5 billion in funding and now employs over 1,...
DoorDash offers unlimited paid time off, flexible work-from-home opportunities, comprehensive health insurance, a work-from-home stipend, and company ...
DoorDash fosters a competitive culture focused on innovation and transparency, particularly in its fee structures for restaurants. The company emphasi...
DoorDash USA • San Francisco, CA; Seattle, WA; New York, NY; Los Angeles, CA; Chicago, IL; Austin, TX; Washington D.C.
DoorDash is hiring Data Scientists and Senior Data Scientists to guide measurement and strategy across various teams. You'll work with SQL, R, and Python to analyze large datasets and drive decision-making.
You have a strong quantitative background and experience in data science, ideally with 3-5 years in the field. You enjoy uncovering insights from complex datasets and translating them into actionable recommendations that drive business decisions. Your analytical skills allow you to mentor junior analysts, guiding them in using advanced methods to solve challenges. You thrive in a collaborative environment, working closely with cross-functional teams to influence strategy and operations.
You are proficient in SQL, R, and Python, and have experience building full-cycle analytics experiments, reports, and dashboards. Your ability to communicate complex data findings clearly to stakeholders at all levels is one of your key strengths. You are excited about tackling a variety of challenges, from customer acquisition to marketplace efficiency, and you have a passion for using data to affect revenue and growth.
Experience with machine learning techniques and tools is a plus, as is familiarity with data visualization tools. You may have worked in fast-paced environments where you had to adapt quickly to changing priorities and business needs. A background in e-commerce or logistics can also be beneficial, as it provides context for the types of challenges you will face at DoorDash.
As a Data Scientist at DoorDash, you will dive into large datasets to guide decision-making across the organization. You will work on various projects that impact customer acquisition, fraud detection, marketing strategies, and operational efficiency. Your role will involve building and analyzing experiments to test hypotheses and measure outcomes, ensuring that your insights are data-driven and actionable.
You will collaborate with teams across the company, including Consumer & Growth, Business Operations, and Customer Experience, to provide analytical support and drive strategic initiatives. Your work will help shape the direction of the company, influencing decisions that affect millions of customers and merchants.
In addition to your analytical responsibilities, you will mentor junior analysts, helping them develop their skills and understanding of advanced analytical methods. You will foster a culture of data-driven decision-making within your team and across the organization, ensuring that everyone understands the value of analytics in driving business success.
At DoorDash, you will be part of a dynamic and innovative team that values collaboration and creativity. We offer competitive compensation and benefits, including health insurance, retirement plans, and opportunities for professional development. You will have the chance to work on meaningful projects that have a direct impact on our business and our customers.
We encourage you to apply even if your experience doesn't match every requirement. We believe that diverse teams build better products, and we are committed to creating an inclusive environment where everyone can thrive. Join us at DoorDash and help shape the future of food delivery.
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