StubHub is on a mission to redefine the live event experience on a global scale. Whether someone is looking to attend their first event or their hundredth, we’re here to delight them all the way from the moment they start looking for a ticket until they step through the gate. The same goes for our sellers. From fans selling a single ticket to the promoters of a worldwide stadium tour, we want StubHub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.
The Data Science team, a part of the broader StubHub Data organization, is looking for an experienced, senior-level Data Science Manager to lead a growing team (currently 6, ranging from entry level DS to Staff+) that covers a wide range of data science disciplines.
StubHub is the largest secondary ticketing marketplace in the world, generating massive amounts of consumer data that are leveraged to tackle many unique and interesting predictive and inference problems across user acquisition, product recommendations, pricing optimization, ticket fulfillment mitigation, and business forecasting. As a Data Science Manager, you will need to work closely with business leaders and convert their long-term strategic goals into tangible machine learning projects executed by your team at a day-to-day level. Understanding when to provide oversight from a technical perspective, while being able to grow individuals, will be paramount in your team's long-term success.
You will also be responsible for the technical and personal growth of your team members, developing talent density through focused mentorship, strategic career development, and execution excellence. There will be a need to plan team structure and growth as we invest more in ML, especially to understand the best ways to build and apply generative AI solutions within our product.
You will be joining at a critical time for the Data Science practice and the company – while the value of this discipline has been established and there’s a high-performing team in place, we are far from steady state. Key areas of investment from a vision and team planning perspective include establishing new pockets of deep technical expertise (e.g., causal inference, graph ML), advocating for best-in-class ML tooling/platform, and widening the reach of data science company-wide. As a senior leader on this team, you will be responsible for shaping and realizing that vision.
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Century City, CA
What You'll Do
- Technical project scoping and planning
- Partner with cross-functional stakeholders across the business, executives, and data team
- Technical review and architecture oversight
- Recruitment and end-to-end talent growth development: Performance reviews, promotion recommendations, 360 feedback, etc
- Surface infrastructure needs and onboard solutions
What You've Done
- 8 - 10 years of relevant machine learning/data science in a fast-paced, high growth environment
- 8 - 10 years of experience managing high performant data science team.
- Strong programming and analytical ability with expertise in SQL and Python (TensorFlow, scipy, scikit-learn, PyTorch, statsmodels)
- Experience with modern workflow orchestration used in machine learning, e.g.,Metaflow, ZenFlow, Airflow
- Nice to Haves:
- Worked at a consumer tech company
- Experience with GenAI/LLM/Agentic workflows in a production setting
- Hands-on experience with graph-based machine learning and recommendation systems
What We Offer
- Accelerated Growth Environment: An environment designed for swift skill and knowledge enhancement, where you have the autonomy to lead experiments and tests on a massive scale.
- Top Tier Compensation Package: Competitive base, equity, and upside that tracks with your impact.
- Flexible Time Off: Enjoy unlimited Flex Time Off, giving you the flexibility to manage your schedule and take time to recharge as needed.
- Comprehensive Benefits Package: Prioritize your well-being with a comprehensive benefits package, featuring 401k, and premium Health, Vision, and Dental Insurance options.
The anticipated gross base pay range is below for this role. Actual compensation will vary depending on factors such as a candidate’s qualifications, skills, experience, and competencies. Base annual salary is one component of StubHub’s total compensation and competitive benefits package, which includes equity, 401(k), paid time off, paid parental leave, and comprehensive health benefits.
Skills Required
- 8 - 10 years of relevant machine learning/data science experience
- 8 - 10 years of experience managing high performing data science teams
- Expertise in SQL and Python
- Experience with TensorFlow, scipy, scikit-learn, PyTorch, and statsmodels
- Experience with modern workflow orchestration in machine learning
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