About the Team

The People Data Science team empowers the business to unlock the full potential of talent and drive meaningful improvements in organizational effectiveness. By harnessing advanced statistical techniques and machine learning algorithms, we sift through vast amounts of employee data to identify trends, patterns, and correlations that might otherwise remain hidden. Leveraging the insights drawn from these data science methods, we enable our stakeholders to make informed, data-driven decisions, enhance the employee experience, optimize talent density, and foster a work environment that lets our employees thrive.

About the Role

As a Data Scientist on the People Team at DoorDash, you'll use your background in quantitative social science to dive into large datasets to guide decision-making, develop approaches and recommendations, and mentor other scientists. We solve a multitude of exciting challenges across recruiting, funnel optimization, employee engagement and lifecycle measurement, predictive modeling, and forecasting. If you enjoy finding patterns amidst chaos, have experience using analytics to solve ambiguous problems, and are hungry to drive global impact, we're looking for you!

You're excited about this opportunity because you will...

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our most critical business asset - our talent - across the employee lifecycle.
• Independently develop full-cycle analytics, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools, as well as your considerable knowledge of statistics and data science methods 
• Collaborate with cross-functional stakeholders to use more advanced data science methods to solve their business needs Use statistical techniques and hypothesis testing to develop recommendations and insights that help business and product leaders understand the dynamics of our company, employee behaviors, and long-term trends
• Develop new metrics and data products to measure progress against our People Team goals
• Collaborate with engineering and analytics to implement, document, validate, and monitor data trends.

We're excited about you because you have....

• An advanced degree (MS or PhD) in a discipline of quantitative social science (e.g., applied data science, I/O psychology, behavioral economics, sociology)
• 3+ years of experience independently applying your skills to solve problems  (1-2+ years in People Analytics preferred)
• Deep expertise in statistics and data science methods (e.g., linear and logistic regression, causal inference, A/B testing, matching methods, time series analyses)
• Proficiency in one or more of the following languages: Python (Preferred), R
• Demonstrated experience communicating technical findings to nontechnical audiences.
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data- supported way
• Nice-to-have: Experience developing and analyzing surveys
• Nice-to-have: Experience working in a global HR / people organization.

About DoorDash

At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users—from Dashers to merchant partners to consumers. We are a technology and logistics company that started with door-to-door delivery, and we are looking for team members who can help us go from a company that is known for delivering food to a company that people turn to for any and all goods.

DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees’ happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.

Our Commitment to Diversity and Inclusion

We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.

Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression