Sports Data Scientist: Predictive ML & Personalization

Sotalent; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

Sotalent is seeking a Data Scientist to drive product innovation through predictive modeling, recommendation systems, experimentation, and advanced analytics. You will collaborate with Product, Engineering, Growth, Editorial, and Data teams to build intelligent systems that improve user engagement and subscription performance.

You will design and deploy production-ready ML pipelines, analyze large-scale user behavior, and translate findings into actionable business insights while partnering with

Qualifications

• 2-4 years of experience in Data Science or related analytical roles.
• Proven ability to apply statistical methods to real-world business problems using large datasets.
• Strong proficiency in Python for data analysis and model development, plus production deployment.
• Solid SQL skills for querying and managing data warehouses.
• Experience building predictive models and recommendation systems.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and deploy machine learning models that support product objectives.
• Build predictive models to identify users likely to subscribe, retain, or engage with premium content.
• Develop and enhance recommendation engines to deliver content to users at the right time.
• Apply advanced statistical and ML techniques to solve business challenges.

Skills

Python

SQL

Machine Learning

Experimentation

Communication

Education

BSc in CS/Math/Statistics

Job description

Sotalent is seeking a Data Scientist to drive product innovation through predictive modeling, recommendation systems, experimentation, and advanced analytics. You will collaborate with Product, Engineering, Growth, Editorial, and Data teams to build intelligent systems that improve user engagement and subscription performance.

You will design and deploy production-ready ML pipelines, analyze large-scale user behavior, and translate findings into actionable business insights while partnering with