Data Scientist

Technology and logistics company focused on door-to-door delivery, empowering local economies through their marketplace platform.
$120,000 - $200,000
Data
Mid-Level Software Engineer
Hybrid
5,000+ Employees
3+ years of experience
Logistics

Description For Data Scientist

DoorDash's International Analytics team is seeking talented Data Scientists to drive measurement, strategy, and decision-making as they expand their logistics platform globally. This role offers a unique blend of operational and data-driven experience, going beyond traditional machine learning implementations.

As a Data Scientist at DoorDash, you'll be at the forefront of solving crucial business challenges across their three-sided marketplace. The role involves customer acquisition, supply-demand balancing, fraud prevention, marketing optimization, and marketplace efficiency. You'll work with cross-functional teams to transform data insights into actionable recommendations that drive organizational decisions.

The position offers an exciting opportunity to shape DoorDash's future as they evolve from a food delivery service to a comprehensive goods delivery platform. You'll use advanced analytics approaches, including SQL, Python, and R, to conduct experiments, build reports, and create dashboards. The role requires strong analytical skills, stakeholder management abilities, and the capability to translate complex data into clear recommendations.

DoorDash offers a supportive environment with comprehensive benefits, including premium healthcare, wellness reimbursements, and paid parental leave. They're committed to fostering diversity and inclusion, creating an environment where diverse perspectives drive innovation. This role is perfect for someone who enjoys finding patterns in chaos and wants to help build a market from the ground up.

The ideal candidate will have 3+ years of experience in data analytics or consulting, strong programming skills, and experience with experimental design and statistical modeling. You'll need to be comfortable with ambiguity and have the ability to lead strategic projects to completion while working with cross-functional teams.

Last updated 11 days ago

Responsibilities For Data Scientist

  • Partner with product, business, finance and executive teams for decision making
  • Perform quantitative analysis to understand business drivers
  • Build analytics experiments, reports, and dashboards using SQL, Python, R
  • Conduct statistical analysis and hypothesis testing
  • Provide insights on marketplace dynamics and user behaviors
  • Identify and measure key metrics
  • Collaborate with cross-functional teams
  • Travel to meet business partners and teams

Requirements For Data Scientist

Python
  • 3+ years of experience in data analytics, consulting, or 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)
  • Expertise with SQL queries and ETLs
  • Proficiency in analytics & visualization tools
  • Experience with statistical and machine learning models
  • Strong stakeholder management skills

Benefits For Data Scientist

Medical Insurance
Parental Leave
  • Premium Healthcare
  • Wellness Expense Reimbursement
  • Paid Parental Leave

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