Data Scientist

About The Company

DoorDash is a leading technology and logistics company committed to empowering local economies through innovative delivery solutions. Starting with food delivery, DoorDash has expanded its platform to encompass a wide range of goods and services, aiming to connect consumers with local merchants efficiently and reliably. Our mission is to enable local businesses to thrive and provide consumers with seamless access to their favorite products. With rapid growth and a dynamic work environment, DoorDash offers employees the opportunity to solve complex challenges, own their careers, and make a meaningful impact in communities worldwide.

About The Role

The Data Scientist role at DoorDash is a pivotal position within our Analytics team, responsible for guiding measurement, strategy, and tactical decision-making through advanced analytics approaches. As part of this role, you will dive deep into our data to uncover insights, develop hypotheses, and design experiments that influence key business areas such as customer acquisition, marketplace balancing, fraud prevention, and operational efficiency. You will work closely with cross-functional teams, including Product, Operations, and Leadership, to translate data-driven insights into actionable recommendations that drive growth and operational excellence.

In this role, you will lead and mentor a team of Data Scientists, fostering a culture of innovation and analytical rigor. You will influence the product and operational roadmaps by providing strategic insights, define success metrics, and establish best practices for experimentation and statistical analysis. Your work will directly impact strategic decisions, helping shape the future direction of the company's marketplace platform. This position offers a unique opportunity to solve complex, real-world problems using data and analytics, making a tangible difference in the company's growth trajectory.

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 related industries.
• Proven leadership skills with experience managing and developing teams of Data Scientists.
• Deep expertise in experimental design, A/B testing, and statistical analysis.
• Hands-on experience with data pipelines, data modeling, and analysis tools.
• Strong communication skills with the ability to present complex findings to non-technical stakeholders.
• Ability to influence strategic decisions through data-driven insights.
• Experience working in fast-paced, collaborative environments with cross-functional teams.

Responsibilities

• Lead and develop a team of Data Scientists to investigate complex business issues and uncover key drivers of performance.
• Collaborate with product and operations teams to influence roadmaps through actionable insights.
• Design and oversee experiments to test hypotheses, measure impact, and optimize business processes.
• Define and implement measurement strategies, success metrics, and best practices for data analysis.
• Develop strategic learning roadmaps based on data observations, strategic questions, and hypotheses.
• Interface regularly with senior leadership to communicate findings, influence decision-making, and showcase team contributions.
• Build and maintain robust data pipelines to support ongoing analytics initiatives.
• Stay current with industry trends and continuously improve analytical methodologies and tools.

Benefits

• Competitive salary within the market range of $219,600—$323,000 USD, based on experience and location.
• Opportunities for equity grants and performance-based bonuses.
• Comprehensive health benefits including medical, dental, and vision coverage.
• 401(k) plan with employer matching contributions.
• Paid parental leave of up to 16 weeks.
• Wellness benefits and mental health programs.
• Paid time off, including flexible vacation and sick leave.
• Paid holidays, disability, and life insurance coverage.
• Family-forming assistance and other employee support programs.

Equal Opportunity

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