Location: New York, NY (Hybrid)
Type: Full-Time
Job Summary We are seeking a Data Scientist with strong experience in Python, SQL, and Machine Learning to support advanced analytics initiatives in a Sports, Media & Entertainment environment. The role focuses on fan behavior analytics, predictive modeling, customer insights, and scalable data science solutions.
Must-Have Skills - Strong experience with Python and SQL
- Hands-on experience in Machine Learning & Statistical Modeling
- Experience building production-ready ML solutions
- Knowledge of Regression, Classification, Clustering, and Predictive Analytics
- Experience with Feature Engineering, Model Tuning, and Validation
- Exposure to NLP and unstructured data analysis
- Familiarity with Git / Version Control
- Strong analytical, problem-solving, and stakeholder communication skills
Key Responsibilities - Build and deploy machine learning and statistical models
- Analyze fan/customer behavior data and generate insights
- Develop end-to-end analytical solutions using Python and SQL
- Perform feature engineering, tuning, and model validation
- Partner with Data Engineering teams to operationalize models
- Support NLP-based analysis for survey and unstructured data
- Collaborate with business stakeholders to solve analytics problems
Nice to Have - Experience in Sports, Media, Marketing, or Customer Analytics
- Exposure to MLOps concepts
- Experience with Cloud Analytics Platforms (AWS/Azure/GCP)
- Master's degree in Data Science, Statistics, or related field