DoorDash
DataScientist
“Data Scientist at DoorDash. Skills: Advanced Analytics approaches, uncover insights, turn them into actionable recommendations, drive decisions, solve crucial business problems, ideate & run experiments, drive real-world operational change, finding patterns amidst chaos, turning them into explainable, actionable insights, build a market from 0 to 1, affect revenue, growth, operations. guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches. uncover insights ”
Industry & Context.
Advanced Analytics approaches; uncover insights; turn them into actionable recommendations; solve crucial business problems; ideate & run experiments; drive real-world operational change; finding patterns amidst chaos; turning them into explainable, actionable insights; build a market from 0 to 1; affect revenue, growth, operations; take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way; quantitative analysis; Build full-cycle analytics experiments, reports, and dashboards; Identify and measure levers; Produce recommendations; statistical techniques; hypothesis testing; experimentation techniques; Provide insights
What They're Looking For.
Must Have
2+ years of experience in data analytics, consulting, or related quantitative role, Proficiency in at least one programming language, preferably Python or R, Very experienced with SQL queries, Basic ETL, Regression techniques
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs
What You'll Do.
and tactical decision-making using Advanced Analytics approaches
uncover insights and turn them into actionable recommendations
driving decisions for the entire organisation
diving deeper into our data to solve crucial business problems
ideate & run experiments to solve for insights gleaned from this deep dive
work with a cross-functional team to drive real-world operational change
finding patterns amidst chaos and turning them into explainable
build a market from 0 to 1
Be a first-class thought partner to our product
finance and executive teams
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
and dashboards using SQL
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
How You'll Work.
Team & Collaboration
work with a cross-functional team to drive real-world operational change; Be a first-class thought partner to our product, business, finance and executive teams; effectively collaborate well with strategy, operations, product, finance and engineering
Communication Scope
presentation of data; Produce recommendations; Provide insights
Process & Methodology
Experience leading /owning strategic projects to completion with multiple cross-functional teams
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