Strategic Employment Partners (SEP)
Data Scientist (Brooklyn)
Strategic Employment Partners (SEP), Brooklyn, New York, United States, 11210
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 solutionsranging from Bayesian engagement scoring to purchase-propensity and lifetime-value modelsto 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: Bachelors degree in Data Science, Statistics, Computer Science, or a related quantitative field (Masters 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.
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 solutionsranging from Bayesian engagement scoring to purchase-propensity and lifetime-value modelsto 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: Bachelors degree in Data Science, Statistics, Computer Science, or a related quantitative field (Masters 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.