Global Healthcare Exchange (GHX) is hiring a Tennis Data Scientist to develop and improve the machine learning and statistical models that power Swish Analytics' core algorithms for sports betting products. In this role, you will have significant ownership over our data products, contributing from initial proof-of-concepts all the way through to production deployment.
What You'll Do
- 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.
What We're Looking For
- A Bachelor's degree in Data Analytics, Data Science, Computer Science, or a related technical subject area.
- Minimum of 4+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting.
- Demonstrated experience developing models at production scale for tennis or sports betting is required.
- Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
- Experience with relational SQL & Python.
- Experience with source control tools such as GitHub and related CI/CD processes.
- Experience working in AWS environments.
- A proven track record of strong leadership skills and the ability to partner with teams to solve complex problems by taking a broad perspective to identify innovative solutions.
- Excellent communication skills to both technical and non-technical audiences.
Nice to Have
- A Master's degree is highly preferred.
Technical Stack
- Python
- SQL
- GitHub
- AWS
Team & Environment
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.
Benefits & Compensation
- Compensation range: $120,000 - $175,000
Work Mode
This is a hybrid position based in San Francisco, CA.
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.
