Experienced Full Stack Manager, Data Science, Analytics - Digital Ordering

About the Opportunity

Are you a seasoned data science professional looking for a new challenge? Do you have a passion for driving business growth through data-driven insights? We're seeking an experienced Manager, Data Science, Analytics - Digital Ordering to join our team at DoorDash. As a key member of our Digital Ordering team, you'll be responsible for leading a team of data scientists in building effective digital channels and surfaces to engage restaurant customers and facilitate an easy and delightful ordering experience.

About the Team

DoorDash is a technology and logistics company that's revolutionizing the way people order food and other goods. Our mission is to empower local economies, and we're committed to making a positive impact on our communities. Our Digital Ordering team is responsible for building products that help restaurants maximize the value of their first-party customers outside of the DoorDash app, via digital channels like websites, native apps, and CRM.

About the Role

As the Manager, Data Science, Analytics - Digital Ordering, you'll be responsible for leading a team of data scientists in building software products and uncovering key drivers of our business. You'll work closely with product and engineering teams to build new products, and with strategy and operations teams to bring these to market and validate ROI for restaurants. You'll also oversee our metrics and analytics strategy to understand how to bring together a set of independent digital products into a cohesive digital suite that will help restaurants grow and accelerate their sales.

Key Responsibilities

• Lead and develop a team of Data Scientists in building software products 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

Essential Qualifications

We're looking for a seasoned data science professional with a strong track record of delivering impactful analyses. Here are the essential qualifications we're looking for:

• 2+ years of experience managing a team of data scientists in a formal or informal capacity
• 6+ 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 appropriately in the business context
• Deep understanding of, and hands-on experience with A/B 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

Preferred QualificationsCareer Growth Opportunities and Learning Benefits

At DoorDash, we're committed to supporting our employees' growth and development. As a Manager, Data Science, Analytics - Digital Ordering, you'll have the opportunity to:

• Develop your leadership skills by managing a team of data scientists and influencing the Product and Operations roadmap
• Stay up-to-date with the latest trends and technologies in data science and product analytics through our training and development programs
• Collaborate with cross-functional teams to drive business growth and innovation
• Participate in our mentorship program to receive guidance and support from experienced leaders
• Take advantage of our comprehensive benefits package, including a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays

Work Environment and Company Culture

At DoorDash, we're proud of our inclusive and dynamic company culture. As a Manager, Data Science, Analytics - Digital Ordering, you'll have the opportunity to:

• Work in a fast-paced and innovative environment that's constantly evolving
• Collaborate with a diverse team of professionals from various backgrounds and industries
• Participate in our company-wide events and activities, such as hackathons, meetups, and volunteer opportunities
• Enjoy a comprehensive benefits package that supports your physical and mental well-being
• Take advantage of our flexible work arrangements, including remote work options and flexible hours

Compensation, Perks, and Benefits

We offer a competitive compensation package, including:

• A base salary that ranges from $163,100 to $239,800 USD, depending on your location and experience
• Opportunities for equity grants and stock options
• A comprehensive benefits package, including a 401(k) plan with an employer match, paid time off, paid parental leave, wellness benefits, and several paid holidays
• Flexible work arrangements, including remote work options and flexible hours
• A comprehensive mental health program and access to employee assistance programs

How to Apply

If you're a motivated and experienced data science professional looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter that highlights your experience and qualifications. We can't wait to hear from you!

Equal Employment Opportunity

DoorDash is an equal employment opportunity employer. We welcome applications from diverse candidates and are committed to creating an inclusive and diverse work environment. We do not discriminate on the basis of race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status.

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

Apply Now

Don't miss out on this exciting opportunity. Apply now to become a part of our team and help us drive business growth through data-driven insights.