StubHub
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Manager - Data Science
role at
StubHub
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 for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying 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 of this team, you will be in charge of shaping and materializing that vision.
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, 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: Immerse yourself in 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: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.
Flexible Time Off: Embrace a healthy work‑life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and 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.
Salary Range $300,000—$400,000 USD
About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world – from sports to music, comedy to dance, festivals to theater – StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front‑row seat to the action.
We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.
#J-18808-Ljbffr
Manager - Data Science
role at
StubHub
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 for planning of team structure and growth as we put more investment into ML, especially understanding the best ways of building and applying 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 of this team, you will be in charge of shaping and materializing that vision.
Location: Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, 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: Immerse yourself in 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: Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions.
Flexible Time Off: Embrace a healthy work‑life balance with unlimited Flex Time Off, providing you the flexibility to manage your schedule and 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.
Salary Range $300,000—$400,000 USD
About Us StubHub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through StubHub in North America and viagogo, our international platform, we service customers in 195 countries in 33 languages and 49 available currencies. With more than 300 million tickets available annually on our platform to events around the world – from sports to music, comedy to dance, festivals to theater – StubHub offers the safest, most convenient way to buy or sell tickets to the most memorable live experiences. Come join our team for a front‑row seat to the action.
We are an equal opportunity employer and value diversity on our team. We do not discriminate on the basis of race, color, religion, sex, national origin, gender, sexual orientation, age, disability, veteran status, or any other legally protected status.
#J-18808-Ljbffr