Lead Data Scientist

Lead Data Scientist at Door Dash

About the Team

The Analytics team is looking for Data Scientists to guide measurement, strategy, and tactical decision-making using Advanced Analytics approaches, as we expand our platform across the globe. Data Scientists at Door Dash work to uncover insights and turn them into actionable recommendations, helping drive decisions for the entire organisation. Analytics is very integral to all operational areas at Door Dash.

About the Role

Data Science at Door Dash involves diving deeper into our data to solve crucial business problems, ideate & run experiments to solve for insights gleaned from this deep dive and work with a cross-functional team to drive real-world operational change. This is a rare operational and actionable data-driven experience.

We solve many exciting challenges from all three sides of our marketplace including customer acquisition, balancing supply and demand, fraud and support, marketing, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, are excited to build a market from 0 to 1, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Lead and develop a team of Data Scientists in investigating complex issues and uncovering key drivers of our business, along with your own contributions as an Individual Contributor
• Influence the Product and Operations roadmap by making actionable recommendations based on data
• Interface frequently with senior leadership to showcase your team’s work and tackle complex business problems
• Drive measurement strategy for the area under scope, defining success metrics and implementing best practices around experiment design and statistical analysis
• Develop a strategic learning roadmap based on data observations, strategic questions, and hypotheses

We're excited about you because you have…

• A degree in Math, Physics,, Economics, Computer Science, or a similar domain
• 8+ years of experience in Data Science and Product Analytics, primarily in related industries
• Strength in leading through your technical chops, and ability to leverage it appropriate in the business context
• Deep understanding of, and hands-on experience with experimentation
• Experience with data pipelines
• Excellent communication and cross-functional working skills, including the ability to present complex findings to non-technical audiences and influence strategic decisions

Applications for this position are accepted on an ongoing basis

Compensation

The successful candidate’s starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.

Door Dash cares about you and your overall well-being. That’s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). Door Dash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.

See below for paid time off details:

• For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
• For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).

The national base pay range for this position…