ChatGPT Jobs · 12 hours ago
Senior Data Scientist - Fan Experience & Operations
New York, NY
Full-time
Hybrid
Senior Level
$200K/yr - $250K/yr
5+ years expStubHub is on a mission to redefine the live event experience on a global scale. We're seeking a Senior Data Scientist to lead the science behind a best-in-class ticketing experience for fans, focusing on the operational journey from ticket purchase through event entry.
Computer Software
Responsibilities
Own the science behind ticket fulfillment: Drive reliability, ease of use, and customer satisfaction by crafting and deploying scalable, production-grade machine learning models that directly inform operational systems and decisions
Drive data-informed strategy: Work with operations partners to shape roadmaps, using analysis and modeling to identify, prioritize, and size high-impact opportunities that can be implemented and sustained at scale
Design for validation: Apply principles of experimentation and causal inference to ensure work products can be rigorously evaluated, defining offline validation and online testing strategies early in the design process
Build the data foundation: Partner with platform and analytics teams to ensure data availability and quality, including event instrumentation, batch and streaming ETL, feature stores, and monitoring for model performance, bias, and drift
Tell the story: Communicate trade-offs and impact to execs and non-technical partners; make the complex understandable and actionable
Qualification
Required
5+ years of industry experience in data science or machine learning, with an MS or PhD in mathematics, statistics, computer science, or a related quantitative field preferred
Strong programming skills in Python, with experience using numerical and machine learning libraries such as Pandas, NumPy, SciPy, scikit-learn, and gradient-boosting frameworks (e.g., LightGBM, XGBoost)
Demonstrated experience building, deploying, and iterating on production machine learning models in cloud environments (e.g., AWS, Azure), including post-deployment monitoring and improvement
Expertise working with large-scale data using modern analytics and compute platforms such as Snowflake, BigQuery, or Databricks, with strong proficiency in SQL
Proven ability to establish data science methodology in new or ambiguous domains, owning work end to end—from stakeholder alignment and problem framing to delivery and measurable impact
Excellent communication skills, with the ability to clearly articulate modeling assumptions, tradeoffs, and impact to both technical and non-technical audiences
Preferred
Experience applying machine learning to operational problem spaces such as ticket fulfillment, fraud detection, customer service, or trust and safety
Experience with production ML platforms and workflows, such as Metaflow or comparable systems (e.g., Airflow-based ML pipelines, Kubeflow, SageMaker Pipelines, Prefect, Flyte), including model versioning, scheduling, and monitoring
Experience selecting and applying appropriate causal inference approaches to evaluate model and policy impact, including methods such as uplift modeling, synthetic control, and BSTS
Benefits
Medical, Dental, Vision, Retirement, PTO
401k
Premium Health, Vision, and Dental Insurance options
Company
ChatGPT Jobs
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2-10 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase