Full-Time

NFL Data Scientist

Posted on 3/14/2024

Swish Analytics

Swish Analytics

51-200 employees

Machine learning for US sports betting

AI & Machine Learning
Consumer Goods
Data & Analytics

Expert

Remote in USA

Required Skills
Python
Data Science
Git
Data Structures & Algorithms
SQL
AWS
Data Analysis
Requirements
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for football or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments
  • Proven track record of strong leadership skills
  • Excellent communication skills to both technical and non-technical audiences
Responsibilities
  • 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

Swish Analytics is renowned for its advanced machine learning systems designed for the US sports betting and fantasy markets. This company stands out due to its specialized focus on providing algorithm-driven predictions and tools for NBA, NFL, MLB, and NHL. It excels in risk management and trading software, making it a top choice for professionals in the sports betting industry.

Company Stage

Series C

Total Funding

$29.8M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

12%

1 year growth

32%

2 year growth

130%
INACTIVE