Data Scientist

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 Door Dash 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 Door Dash!

Data Science at Door Dash 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.

We solve many exciting challenges from all three sides of our marketplace including customer acquisition and growth, fraud and support, marketing, balancing supply and demand, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos and turning them into explainable, actionable insights, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we’re looking for someone like you!

• Be a first‑class thought partner to our product, business, finance and executive teams and help them make decisions on what’s next for Door Dash
• 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

• 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

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only