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 Senior Data Scientist on the People Team at DoorDash, you will apply your expertise in graph theory and machine learning to model leadership hierarchies and employee networks, ensuring continuity in people data metrics. You’ll work with large, dynamic datasets to develop graph-based solutions that optimize decision-making and provide actionable insights on leadership transitions, turnover, and organizational structure. This role offers an exciting opportunity to design, implement, and deploy advanced graph analytics models, collaborating with a diverse team of data scientists, engineers, and HR professionals. If you’re passionate about graph theory, network analysis, predictive modeling, and AI-driven workforce intelligence, we’d love to hear from you!
You're excited about this opportunity because you will...
- Pioneer graph-based workforce intelligence: Lead the development of the team’s first graph analytics solutions, shaping how leadership transitions and workforce trends are understood.
- Work with top talent: Collaborate with a highly skilled, cross-functional team of data scientists, engineers, and HR professionals in an innovative, fast-paced environment.
- Leverage cutting-edge technology: Access state-of-the-art cloud tools, graph databases, and large-scale ML models to tackle complex organizational challenges.
- Make a real impact: Use large, dynamic datasets to solve high-stakes business problems and drive data-informed decision-making at scale.
- Grow your career: Benefit from strong support for professional development, continued learning in machine learning, graph analytics, and AI, and mentorship from industry leaders.
- Join a data-driven culture: Be part of a company that values innovation, collaboration, and pushing the boundaries of workforce analytics.
We're excited about you because you have....
- Master’s or Ph.D. in Computer Science, Data Science, Applied Mathematics, Statistics, Operations Research, or a closely related field.
- Experience in designing and implementing graph databases (Neo4j, Amazon Neptune, JanusGraph, etc.) and graph query languages (Cypher, Gremlin, SPARQL).
- Strong knowledge of graph theory, network analysis, and predictive modeling.
- Proficiency in Python, SQL, and experience with graph libraries (NetworkX, igraph, TigerGraph).
- Experience with Snowflake, BigQuery, dbt, and building data pipelines.
- Ability to create graph visualizations and dashboards using tools like Tableau, GraphXR, or D3.js.
- Familiarity with AWS, GCP, or Azure for scalable graph-based solutions.
- 3+ years of experience independently applying your skills to solve problems in an industry setting (1-2+ years in People Analytics preferred)
- Strong understanding of ML libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
- Significant experience with production-level ML systems and end-to-end machine learning pipelines
- Nice-to-have:
- Experience working in a global HR / people organization.
- Understanding of workforce metrics, turnover analysis, and HRIS systems like Workday.
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.
The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
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.
DoorDash 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, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act) (for salaried roles: flexible 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), 16 weeks of paid parental leave, a wellness benefit, and a commuter benefit match.
Additionally, for full-time employees, DoorDash offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
To learn more about our benefits, visit our careers page here.
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, 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.
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