Manager, Data Science, Analytics - Go-to-Market
New York City; Seattle, WA; Los Angeles, CA; San Francisco, CA; Chicago, IL; Sunnyvale, CA; Austin, TX; Washington, D.C
DoorDash
When you join our team, you join our dream: to grow and empower local economies. We’re focused on improvement—from moving faster to leveling up the quality of our product—and our work is never complete. If you’re looking to define your career...The Merchant Core Analytics team is responsible for setting up Merchants for success on the DoorDash platform from when they first join and beyond. DoorDash aims to provide competitive offerings for Merchants looking for solutions in local commerce. The team does this by enabling Merchant growth through support and a full suite of product solutions while providing tools for Merchants to run their business efficiently on DoorDash. Analytics works closely with Product, Engineering, Strategy, Sales, and Marketing teams to guide program and product design to unlock Merchants’ full potential on DoorDash.
About the RoleThe Core Merchant Analytics team is looking for a Data Science Manager to lead Merchant Go-To-Market Analytics. This role is responsible for driving insights that shape DoorDash’s strategy on bringing new merchant products to market, optimizing our existing product suite, and creating new growth channels for our merchants. The role will be responsible for crafting our north star growth metrics and identifying key drivers of sustainable merchant growth. The role will also help develop our strategy on serving actionable insights and recommendations to our merchants across self-serve and sales supported channels. The role will manage a team of Data Scientists and work closely with Product, Engineering, Strategy and Sales leadership to develop the product roadmap as well as an understanding of key drivers of merchant revenue and profitability growth. We are looking for someone passionate about solving complex problems through data, inference, and experimentation.
You're excited about this opportunity because you will…- Lead a team of Data Scientists in investigating complex issues and uncovering key drivers of our business
- Create compelling narratives about our Merchants, with actionable recommendations
- Influence the product and strategy roadmap with insights gleaned from the data
- Operate both at the lowest level of detail and at the strategic level - frequently interacting with senior leadership
- Drive measurement strategy for the area under scope defining success metrics and implementing best practices around experiment design and statistical analysis
- Develop data-driven frameworks to facilitate prioritization of high-impact product and operational initiatives
- 2+ years of experience managing a team of data scientists, and a track record of delivering impactful analyses
- 6+ years of experience in Data Science and Product Analytics, primarily in related industries
- Deep understanding of and hands-on experience with experimentation methods and causal inference (A/B testing, diff-in-diff, etc.)
- Ability to present complex findings to non-technical audiences and influence strategic decisions
- Superior product and business understanding
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.
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, disability status, or veteran status. Above and beyond discrimination and harassment based on “protected categories,” we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce – people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
If you need any accommodations, please inform your recruiting contact upon initial connection.
CompensationThe location-specific base salary range for this position is listed below. Compensation in other geographies may vary.
Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location. For roles that are available to be filled remotely, base salary is localized according to employee work location. Please discuss your intended work location with your recruiter for more information.
DoorDash cares about you and your overall well-being, and that’s why we offer a comprehensive benefits package, for full-time employees, that includes healthcare benefits, a 401(k) plan including an employer match, short-term and long-term disability coverage, basic life insurance, wellbeing benefits, paid time off, paid parental leave, and several paid holidays, among others.
In addition to base salary, the compensation package for this role also includes opportunities for equity grants.
California Pay Range:$191,800—$287,800 USDNew York Pay Range:$191,800—$287,800 USDWashington Pay Range:$191,800—$287,800 USD
Tags: A/B testing Causal inference Engineering Excel Statistics Testing
Perks/benefits: 401(k) matching Competitive pay Equity Insurance Parental leave Startup environment Wellness
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Scientist II jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open PyTorch-related jobs
- Open APIs-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open LLMs-related jobs
- Open CI/CD-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open DevOps-related jobs