Data Scientist

About The Company

DoorDash is a leading technology and logistics company dedicated to empowering local economies through innovative delivery solutions. Starting with door-to-door food delivery, the company has rapidly expanded its platform to include a diverse range of goods and services, transforming how consumers access products and how local businesses reach their customers. With a focus on speed, reliability, and customer satisfaction, DoorDash leverages cutting-edge technology to optimize delivery operations, enhance user experience, and foster community growth. The company's mission is to connect people with the best of their neighborhoods, making local commerce more accessible, efficient, and sustainable. As a dynamic and rapidly growing organization, DoorDash offers a collaborative environment that encourages innovation, diversity, and career development for its team members.

About The Role

The Analytics team at DoorDash is seeking experienced Data Scientists to lead efforts in measurement, strategy, and tactical decision-making using advanced analytics methodologies. This role involves diving deep into complex data sets to uncover meaningful insights and translating them into actionable recommendations that influence key business decisions across the organization. As a Data Scientist at DoorDash, you will work on a variety of challenging problems spanning customer acquisition, marketplace balancing, fraud prevention, marketing optimization, and operational efficiency. You will have the unique opportunity to shape the product and operational roadmap by providing data-driven guidance and collaborating closely with cross-functional teams, including product managers, engineers, and leadership. This role offers a rare blend of operational impact and strategic influence, allowing you to build scalable solutions that drive growth and efficiency on a global scale.

You will lead and mentor a team of Data Scientists, fostering a culture of innovation and continuous learning. Your responsibilities will include designing and implementing measurement strategies, defining success metrics, and establishing best practices for experimentation and statistical analysis. You will also develop strategic learning roadmaps based on data observations, hypotheses, and strategic questions, ensuring that insights are actionable and aligned with business goals. Regular interaction with senior leadership to present findings and influence decision-making will be a key aspect of this role, providing a platform to demonstrate your technical expertise and strategic thinking.

Qualifications

• A degree in Mathematics, Physics, Statistics, Economics, Computer Science, or a related field
• 8+ years of experience in Data Science and Product Analytics, preferably within technology, e-commerce, or related industries
• Strong leadership skills with experience managing and developing high-performing teams
• Deep expertise in experimentation, A/B testing, and statistical analysis
• Hands-on experience with data pipelines, data warehousing, and ETL processes
• Excellent communication skills with the ability to present complex findings to non-technical stakeholders
• Proficiency in programming languages such as Python, R, or SQL
• Experience working with cross-functional teams to drive strategic initiatives

Responsibilities

• Lead and develop a team of Data Scientists to investigate complex business problems and uncover key drivers
• Design and execute measurement strategies, including defining success metrics and establishing best practices for experiments
• Translate data insights into strategic recommendations to influence product and operational roadmaps
• Collaborate with cross-functional teams to implement scalable data solutions and operational improvements
• Communicate complex analytical findings to senior leadership and non-technical stakeholders effectively
• Develop and maintain data pipelines and analytical models to support ongoing business needs
• Drive continuous improvement in analytics processes and methodologies
• Build a strategic learning roadmap based on observations, hypotheses, and strategic questions

Benefits

• Competitive salary within the range of $219,600 to $323,000 USD, based on experience and qualifications
• Equity grants and stock options
• Comprehensive health insurance including medical, dental, and vision coverage
• 401(k) plan with employer matching
• Paid parental leave for up to 16 weeks
• Wellness benefits and mental health support programs
• Paid time off, including flexible vacation policies and paid sick leave
• Paid holidays and disability insurance
• Family-forming assistance and other employee support programs

Equal Opportunity

DoorDash is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, disability, veteran status, or any other protected category.