Senior Data Scientist - Sports & Entertainment
Our client, a premier Sports, Entertainment, and Hospitality organization, is hiring a Senior Data Scientist. In this position you will own high-impact analytics projects that redefine how predictive analytics influence business strategy. This is a pivotal role where you will build and deploy machine learning solutions-ranging from Bayesian engagement scoring to purchase-propensity and lifetime-value models-to drive fan acquisition and revenue growth.
Requirements:
• Experience: 8+ years of professional experience using data science to solve complex business problems, preferably as a solo contributor or team lead.
• Education: Bachelor's degree in Data Science, Statistics, Computer Science, or a related quantitative field (Master's or PhD preferred).
• Tech Stack: Hands-on expertise in Python, SQL/PySpark, and ML frameworks (scikit-learn, XGBoost, TensorFlow, or PyTorch).
• Infrastructure: Proficiency with cloud platforms (AWS preferred) and modern data stacks like Snowflake, Databricks, or Dataiku.
• MLOps: Strong experience in productionizing models, including version control (Git), CI/CD, and model monitoring/governance.
Location: Brooklyn, NY (4 days onsite per week)
Compensation: $100,000 - $150,000 + Bonus
Benefits: Comprehensive medical/dental/vision, 401k match, competitive PTO, and unique access to live entertainment and sports events.