Data Scientist – Sports Analytics

Acunor Inc

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profile Job Location:

New York City, NY - USA

profile Monthly Salary: Not Disclosed
Posted on: 4 hours ago
Vacancies: 1 Vacancy

Job Summary

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...
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