StubHub
Overview
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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 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+). 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. Responsibilities
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 Qualifications
8-10 years of relevant machine learning/data science in a fast‑paced, high‑growth environment 8-10 years of experience managing a 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 have: Worked at a consumer tech company Nice to have: Experience with GenAI/LLM/Agentic workflows in a production setting Nice to have: Hands‑on experience with graph‑based machine learning and recommendation systems Benefits
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 Location
Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA Equal Opportunity
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.
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Join to apply for the
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 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+). 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. Responsibilities
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 Qualifications
8-10 years of relevant machine learning/data science in a fast‑paced, high‑growth environment 8-10 years of experience managing a 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 have: Worked at a consumer tech company Nice to have: Experience with GenAI/LLM/Agentic workflows in a production setting Nice to have: Hands‑on experience with graph‑based machine learning and recommendation systems Benefits
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 Location
Hybrid (3 days in office/2 days remote) – New York, NY or Santa Monica, CA Equal Opportunity
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