Data Scientist, International Analytics

DoorDash is seeking a Data Scientist to join their Analytics team, focusing on international analytics. This role involves guiding measurement, strategy, and tactical decision-making using advanced analytics approaches as DoorDash expands its logistics platform globally. The Data Scientist will uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organization.

The Data Scientist will dive deep into data to solve crucial business problems, ideate and run experiments, and work with a cross-functional team to drive real-world operational change. This role is operational and actionable, focusing on solving challenges from all sides of the marketplace, including customer acquisition, supply and demand balancing, fraud and support, marketing, and marketplace efficiency.

Responsibilities include:

• Being a thought partner to product, business, finance, and executive teams
• Using quantitative analysis and data presentation to understand business drivers
• Building full-cycle analytics experiments, reports, and dashboards using SQL, Python, R, or other tools
• Providing insights to understand marketplace dynamics, user behaviors, and long-term trends
• Identifying and measuring levers to move essential metrics and make recommendations
• Collaborating with strategy, operations, product, finance, and engineering teams
• Traveling to meet with business partners and teams in each market

Requirements include:

• 3+ years of experience in data analytics, consulting, or a related role
• Ability to solve ambiguous problems in a structured, data-supported way
• Experience with experimentation techniques (A/B testing, Causal Inference)
• Proficiency in at least one programming language (Python, R, etc.)
• Expertise with SQL queries and ETLs
• Proficiency in analytics & visualization tools
• Experience building and training statistical and machine learning models