The Data Scientist at DoorDash will use quantitative analysis to guide decision-making across the company, working with large datasets to uncover insights and drive business strategy. This role involves mentoring junior analysts, building analytics experiments, and collaborating with engineering and product teams to improve marketplace dynamics.
What You'll Do
- 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
What We're Looking For
- 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
- Are able to work in our office in São Paulo, Brazil
Technical Stack
- SQL
- R
- Python
- Matlab
- SAS
- Chartio
- Looker
- Tableau
Team & Environment
Part of the Analytics team, embedded across multiple business units including Consumer & Growth, Business Operations, Dasher & Logistics, Customer Experience & Integrity, Merchant Ads & Sales, New Verticals, and International Data Science
Benefits & Compensation
- Comprehensive benefits and perks supporting employees’ happiness, healthiness, and overall well-being
- Opportunity to share unique perspectives and solve new challenges in a rapidly growing and changing environment
- Support for career ownership and professional growth
- Inclusive workplace welcoming applicants with disabilities
- Accommodations available upon request for candidates who need them
Work Mode
Must work in the São Paulo office; no remote option specified
DoorDash is committed to diversity and inclusion, hiring and cultivating diverse teams from all backgrounds, experiences, and perspectives. This position is open to candidates with disabilities, including those registered with the national autism registry (SisTEA). Applicants are encouraged to request accommodations through the recruiting contact.
