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)
- Masters degree in Data Science Statistics or related field
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 modelin...
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)
- Masters degree in Data Science Statistics or related field
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