Senior Data Scientist
About The Position
You will be a key BizOps partner, working closely with the Strategy & Operations team and the ANZ Executive Leadership Team to turn data into actionable insights—understanding what is happening, why it is happening, and what actions should be taken next. You will focus on the ANZ markets, helping to drive strategic initiatives across the region. You will adapt and apply best practices from the US business to local market dynamics while providing data-driven recommendations that inform business decisions. DoorDash operates a three-sided marketplace comprising Consumers, Merchants, and Dashers. In this role, you will work across all three groups to identify opportunities, solve complex business challenges, and drive growth and operational excellence. This is a hybrid role, with 3 days in-office and 2 days remote.
Requirements
- 6+ years of experience in data analytics, consulting, or related quantitative roles and a degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain.
- The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
- Experience leading /owning strategic projects to completion with multiple cross-functional teams
- Excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritising competing needs
- Very experienced with SQL queries, Basic ETL, Regression techniques
- Proficiency in at least one programming language, preferably Python or R
- Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
Responsibilities
- Be a first-class thought partner to our Strategy & Operations and Executive teams and help them make decisions on what’s next for DoorDash
- Provide insights to enable our cross-functional team to understand marketplace dynamics, user behaviours, and long-term trends
- 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, Python, R, or other scripting and statistical tools
- Identify and measure levers to help move essential metrics and make recommendations
- Work backwards from understanding and sizing problems to ideating solutions
- Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings.
Benefits
- Comprehensive benefits and perks
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What This Job Offers
Job Type
Full-time
Career Level
Senior
