Remote NFL Data Scientist - Real-Time Predictive Analytics

Swish Analytics; San Francisco (CA); Hybrid; USD 126,000 - 154,000; Full time

Job summary

Swish Analytics is hiring an NFL Data Scientist to join our growth-focused data team. This role offers ownership over core modeling components used in our sports analytics products and betting platform.

The position is remote from the USA and requires experience building production-scale models for NFL or sports betting, strong probability/statistics background, and proficiency in Python, SQL, AWS, and modern ML techniques.

Qualifications

• Master's degree in data analytics, data science, computer science, or a related field.
• 2+ years producing production-scale models for NFL, college football, or sports betting.
• Strong foundation in probability, statistics, Bayesian methods and ML.
• 5+ years delivering ML/statistical models to support business needs in sports.
• Experience with SQL and Python; experience with AWS and CI/CD workflows.
• Excellent communication to technical and non-technical audiences.

Responsibilities

• Develop and improve machine learning and statistical models for sports betting products.
• Create contextualized feature sets using sports-domain knowledge.
• Collaborate with data engineering and product teams to deploy models.
• Evaluate model performance through offline and online experiments.
• Document modeling work and present results to stakeholders.

Skills

Leadership

Communication

Problem solving

Education

Master's degree in Data Analytics/Data Science/CS

Tools

Python

SQL

AWS

Git

CI/CD

GitHub

Job description

Swish Analytics is hiring an NFL Data Scientist to join our growth-focused data team. This role offers ownership over core modeling components used in our sports analytics products and betting platform.

The position is remote from the USA and requires experience building production-scale models for NFL or sports betting, strong probability/statistics background, and proficiency in Python, SQL, AWS, and modern ML techniques.