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About the Role
Swish Analytics is seeking a Soccer Data Scientist to develop and improve machine learning and statistical models that drive the company's core algorithms for sports betting products. This role offers true ownership and impact on developing core components of Swish's data 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.
Requirements
- Demonstrated experience developing models at production scale for Soccer, or sports betting for 2+ years
- 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
- Proven track record of strong leadership skills.
- 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
Skills
- Probability Theory
- Machine Learning
- Inferential Statistics
- Bayesian Statistics
- Markov Chain Monte Carlo methods
- SQL
- Python
- GitHub
- CI/CD processes
- AWS
Location
- USA
Work Type
- Remote
- Full-time
Experience Level
- 2+ years
- 5+ years
Education Level
- Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
Salary/Compensations
- Starting at $130,000
About the Company
- 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.
Equal Opportunity
- 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.