Note: The job is a remote job and is open to candidates in USA. Swish Analytics is a sports analytics, betting and fantasy startup focused on developing predictive sports analytics data products. They are seeking an NFL Data Scientist to ideate, develop, and improve machine learning and statistical models that drive their core algorithms for sports betting products.
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
Skills
- 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
Company Overview