Data Scientist, International
$84,360–$162,800 year
On-site · Toronto, Ontario, Canada
Job Summary
Data Scientist role at DoorDash focused on turning deep analytics into actionable business decisions across the logistics platform. Responsibilities include leading end-to-end analytics experiments, building dashboards and reports using SQL, Python, and R; presenting insights to product, finance, and engineering teams; identifying levers to improve metrics across customer acquisition, supply-demand balance, fraud, and marketplace efficiency; and traveling to partner markets to align on strategy and outcomes. Requires 3+ years in data analytics or a related role, strong statistical and modeling capabilities, experience with experimentation (A/B testing, causal inference), proficiency in SQL and at least one programming language, and excellent cross-functional collaboration.
Required Qualifications
- 3+ years of experience in data analytics, consulting, or related role
- Proficiency in at least one programming language (Python, R, etc.)
- Expertise with SQL queries, ETLs
- Experience building and training statistical and machine learning models (classifiers, regression models...)
- Experience with experimentation techniques (A/B testing, Causal Inference) and interpreting hypothesis testing
- Ability to travel to meet with business partners and teams in each market
- Excellent stakeholder management and cross-functional collaboration skills
- Capable of producing insights to inform marketplace dynamics and long-term trends
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