Senior Data Scientist Los Angeles, California,
Listed on 2026-01-24
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IT/Tech
Machine Learning/ ML Engineer, Data Engineer, Data Analyst, AI Engineer
Stub Hub 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 Stub Hub to be the safest, most convenient way to offer a ticket to the millions of fans who browse our platform around the world.
We're on the lookout for an accomplished Senior Data Scientist to join the Data Engineering & Analytics team this role, you'll play a pivotal part in crafting and deploying cutting‑edge machine learning models that drive business and operational decisions within Stub Hub's dynamic ecosystem.
Location:
Hybrid (3 days in office / 2 days remote) – New York, NY or Santa Monica, CA
Senior Data Scientist – you will be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams through influence and, likely later, through a small team of direct reports. You must be uniquely passionate about constructing models that empower data‑driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle.
Effective communication skills to convey complex concepts to both technical and non‑technical audiences are essential.
- Build and understand modeling related to one of four possible areas at Stub Hub:
Experimentation, Forecasting, Pricing or Customer Acquisition. - Build state‑of‑the‑art machine learning models from design all the way through to production, and communicate your results to broad technical and non‑technical audiences.
- Serve as a subject matter expert to the broader organization on how to best build predictive modeling in the context of forecasting and pricing.
- Find and develop your own roadmaps with business partners and carry out project management and execution of your own work.
- Drive growth of junior team members and the data organization through venues such as workshops, best practices, and reading groups.
- Foster a culture of inclusion, results‑oriented execution, open innovation, and limitless creativity across your team.
- 7-11 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 with modern cloud computing platforms (e.g., Spark
SQL, Big Query, Snowflake, Databricks), with high proficiency with query languages like SQL. - Expert in Python or R and numerical and scientific libraries used for statistics and machine learning (e.g., Pandas, Num Py, Sci Py, scikit‑learn).
- Experience in building production level models in cloud environments (e.g., AWS, Azure).
- Demonstrated proficiency in time series modeling (GAMs, GLMs, ARs) and real‑time forecasting are a nice‑to‑have.
- Passionate about working with non‑technical stakeholders to understand, anticipate, and deliver on their data needs.
- Accelerated Growth Environment
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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
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Enjoy a rewarding compensation package that includes enticing stock incentives, aligning with our commitment to recognizing and valuing your contributions. - Flexible Time Off
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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
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Prioritize your well‑being with a comprehensive benefits package, featuring 401(k), and premium Health, Vision, and Dental Insurance options.
Salary Range
$200,000 - $250,000 USD
About UsStub Hub is the world’s leading marketplace to buy and sell tickets to any live event, anywhere. Through Stub Hub 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—Stub Hub 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.
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