Soccer Data Scientist

Swish Analytics Inc.; San Francisco (CA); On-site; USD 117,000 - 143,000; Full time

Job summary

Swish Analytics is seeking a Soccer Data Scientist to own model development for predictive sports analytics products. This role offers impact across core algorithms, feature engineering, and deployment with data engineering and product teams.

The candidate will drive improvements through rigorous offline/online experiments, and must communicate findings to both technical and non-technical audiences. Remote from the USA is supported.

Qualifications

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area.
• Experience developing models at production scale for Soccer or sports betting for 2+ years.
• Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, MCMC methods.
• 5+ years delivering ML/statistical models for sports or sports betting.
• Experience with relational SQL & Python.
• Experience with GitHub and CI/CD processes.
• Experience working in AWS environments.
• Strong leadership and cross-team collaboration skills.
• Excellent communication to technical and non-technical audiences.

Responsibilities

• ideate, develop and improve machine learning and statistical models for sports betting products.
• Develop contextualized feature sets using sports domain knowledge.
• Contribute to all stages of model development from PoCs to deployment with data engineering/product teams.
• Strive to improve model performance using offline and online experiments.
• Analyze results to assess performance and identify weaknesses for further development.
• Adhere to software engineering best practices and contribute to shared code repositories.
• Document modeling work and present to stakeholders and teams.

Skills

Probability Theory

Machine Learning

Inferential Statistics

Bayesian Statistics

Markov Chain Monte Carlo

Leadership

Communication

Education

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area

Tools

SQL

Python

GitHub

CI/CD

AWS

Job description

Company Description

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.

Job Description

Swish Analytics is looking for a Soccer Data Scientists to join our ever-growing team! 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. This position is remote from the USA.

Duties:

• 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:

• Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
• Demonstrated experience developing models at production scale for Soccer, 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

Base Salary: Starting at $130,000

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.