Job Opportunities API

Analytics at DoorDash The Global Analytics team guides 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 Team The global Dasher & Logistics team is focused on making DoorDash faster, more affordable, and more reliable for consumers, while building the best platform for dashers to achieve their financial goals. It does this by optimising dasher earnings and incentives, scaling a best-in-class logistics engine (including routing, supply-demand, and ETAs), and driving innovation through new earning opportunities, AI tools, and future delivery technologies like autonomy and drones. 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.  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! 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 prioritising competing needs We're excited about you because you have… 4+ 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 Very experienced with SQL queries, Basic ETL, Regression techniques  Proficiency in at least one programming language, preferably Python or R Proficiency in one or more analytics & visualisation tools. About DoorDash At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company t