Strategic Employment Partners (SEP)
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.
Seniority level Not Applicable
Employment type Full-time
Job function Information Technology
Industries Staffing and Recruiting
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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.
Seniority level Not Applicable
Employment type Full-time
Job function Information Technology
Industries Staffing and Recruiting
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