Data Science Strategist
6 days ago
**Data-Driven Decisions at StubHub**
We're on a mission to redefine the live event experience globally. Our platform enables fans to buy and sell tickets to events worldwide, from sports to music and festivals. As a Data Scientist at StubHub, you'll be part of our dynamic ecosystem, crafting machine learning models that drive business and operational choices.
The **Data Engineering & Analytics team** serves as the backbone for enabling data-driven decisions across the organization. We harness the potential of consumer data through statistical and machine learning techniques, creating business-facing and customer-facing products, tools, and clear explanations for non-technical users.
In this role, you'll lead teams-first through influence and later through direct reports, steering strategy and execution of model development. You'll be responsible for building state-of-the-art machine learning models, owning them from design to production, and communicating results to technical and non-technical audiences.
This is an opportunity to join our New York-based team with a hybrid work schedule (3 in-person days per week). If you're passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles, and effective communication skills, we'd love to hear from you.
Key Responsibilities:- Build and understand customer LTV and segmentation in the context of product and marketing levers
- Develop and deploy cutting-edge machine learning models driving business and operational choices
- Serve as a subject matter expert around predictive modeling in forecasting and pricing
- Foster a culture of inclusion, results-oriented execution, open innovation, and limitless creativity
- 8-10 years of relevant data science or machine learning experience and an MS. or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred
- Proficiency with transforming and analyzing large-scale data using modern cloud computing platforms
- Expertise in Python or R and numerical libraries used for statistics and machine learning
- Experience in building production-level models in cloud environments
- A competitive base salary of $275,000 USD annually, based on industry standards and market research
- A comprehensive benefits package featuring 401k, premium health insurance, and flexible time off
- A vibrant team environment with opportunities for professional growth and collaboration
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