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Full-Time

Basketball Data Scientist

Confirmed live in the last 24 hours

Swish Analytics

Swish Analytics

51-200 employees

Machine learning for US sports betting

Data & Analytics
AI & Machine Learning
Consumer Goods

Compensation Overview

$100k - $190kAnnually

Senior, Expert

Remote in USA

Category
Data Science
Data & Analytics
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; PhD highly preferred
  • Demonstrated experience developing models at production scale for baseball or sports betting
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • Minimum of 1 year of demonstrated experience (8+ for higher level) 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 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
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

3%

1 year growth

11%

2 year growth

77%