About The Team
The International Analytics team is looking for a Data Scientist to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our logistics platform across the globe. Data Scientists at DoorDash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at DoorDash!
About The Role
Data Science at DoorDash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross‐functional team to drive real‐world operational change. It is NOT just about building Machine Learning models and putting them into production. This is a rare operational and actionable data‐driven experience.
You're Excited About This Opportunity Because You Will ...
* Be a first‐class thought partner to our product, business, finance and executive teams and help them make decisions on what's next for DoorDash
* 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
* Produce recommendations and use statistical techniques and hypothesis testing and other experimentation techniques to validate your findings
* Provide insights to enable our cross‐functional team to understand marketplace dynamics, user behaviours, and long‐term trends
* Possess excellent stakeholder management skills, know how to effectively collaborate well with strategy, operations, product, finance and engineering while prioritizing competing needs
We're Excited About You Because You Have ...
* 2+ years of experience in data analytics, consulting, or related quantitative role
* 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
* Experience working with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
* Proficiency in at least one programming language, preferably Python or R
* Very experienced with SQL queries, Basic ETL, Regression techniques
* Proficiency in one or more analytics & visualisation tools
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