NFL Data Scientist

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

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.

Job Description

Swish Analytics is looking for an NFL Data Scientist to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.

Duties

• Ideate, develop and improve machine learning and statistical models that drive Swish’s core algorithms for producing state-of-the-art sports betting products.
• Develop contextualized feature sets using sports specific domain knowledge.
• Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
• Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
• Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
• Adhere to software engineering best practices and contribute to shared code repositories.
• Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
• Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
• 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
• Experience with relational SQL & Python
• Experience with source control tools such as GitHub and related CI/CD processes
• Experience working in AWS environments etc
• Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
• Excellent communication skills to both technical and non-technical audiences

Base salary: Starting at $140,000

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.