The Analytics team is looking for Generalist 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. Please apply here for all non-managerial levels with the following analytics teams:
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- Consumer & Marketing
- Logistics & Dasher Dispatch
- Platform & New Business Verticals
- Merchant & Sales
- Support & Operational Excellence
- Market Operations & Performance
- Fraud and/or Risk
The Roles
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. They tackle 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 the chaos, and have experience using analytics to affect revenue, growth, operations, or beyond, they’re looking for someone like you!
You’re Excited About This Opportunity Because You Will…
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- Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives their business
- Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
- Work alongside 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 backward 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 their logging
They’re Excited About You Because You Have…
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- A degree in Math, Physics, Statistics, Economics, Computer Science, or similar domain
- 5+ years of experience in data analytics, consulting, or related quantitative role
- Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
- The 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
- The determination to initiate and complete projects to completion in a scrappy environment
Why You’ll Love Working at DoorDash
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- They are leaders – Leadership is not limited to their management team. It’s something everyone at DoorDash embraces and embodies
- They are doers – They believe the only way to predict the future is to build it. Creating solutions that will lead their company and industry is what they do — on every project, every day
- They are learners – They’re not afraid to dig in and uncover the truth, even if it’s scary or inconvenient. Everyone is continually learning on the job, no matter if we’ve been in a role for one year or one minute
- They are customer-obsessed – Their mission is to grow and empower local economies. They are committed to their customers, merchants, and dashers and believe in connecting people with possibility
- They are all DoorDash – The magic of DoorDash is their people, together making their inspiring goals attainable and driving them to greater heights
- They offer great compensation packages and comprehensive health benefits
About DoorDash
DoorDash is a technology company that connects customers with their favorite local and national businesses in over 4,000 cities and all 50 states across the United States and Canada. Founded in 2013, DoorDash empowers merchants to grow their businesses by offering on-demand delivery, data-driven insights, and better in-store efficiency, providing delightful experiences from door to door. By building the last-mile delivery infrastructure for local cities, DoorDash is bringing communities closer, one doorstep at a time. Read more on the DoorDash Engineering blog or at www.doordash.com.
More Information
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1