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About the Role
As a Senior Data Scientist, you'll be the driving force in a business domain, steering the strategy and execution of model development. You will lead teams—first through influence and likely later through a small team of direct reports. We're seeking someone uniquely passionate about constructing models that empower data-driven decisions, equipped with robust engineering principles that enable full ownership throughout the model lifecycle. Additionally, effective communication skills to convey complex concepts to both technical and non-technical audiences are essential.
Responsibilities
- Build and understand modeling related to one of four possible areas at StubHub: Experimentation, Forecasting, Pricing or Customer Acquisition
- Build state-of-the-art machine learning models for which you own 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 around 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
Requirements
- 7-11 years of relevant data science or machine learning experience
- Proficiency with transforming and analyzing large scale data with modern cloud computing platforms (e.g.,SparkSQL, BigQuery, Snowflake, Databricks)
- 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, NumPy, SciPy, 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
Skills
- Machine learning
- Data science
- SparkSQL
- BigQuery
- Snowflake
- Databricks
- SQL
- Python
- R
- Pandas
- NumPy
- SciPy
- scikit-learn
- AWS
- Azure
- Time series modeling
- Forecasting
Location
- New York, NY
- Century City, CA
Work Type
- Hybrid
Experience Level
- Senior
- 7-11 years
Education Level
- MS or Ph.D. degree in math, statistics, computer science, or other quantitative fields preferred
Salary/Compensations
- $200,000—$250,000 USD
Benefits
- 401k
- Premium Health, Vision, and Dental Insurance options
- Unlimited Flex Time Off
- Equity
- Paid parental leave
About the Company
- 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.
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.