Data Scientist
Sardine$150,000 - $170,000/year
- Full Time
- Senior (5 to 8 years)
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries
Requirements
Candidates must possess a Master’s degree in Data Analytics, Data Science, Computer Science, or a related technical subject area, with a minimum of 3+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting. Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods is required, along with experience using relational SQL and Python, and familiarity with source control tools such as GitHub and CI/CD processes, as well as experience working in AWS environments.
Responsibilities
The Soccer Data Scientist will ideate, develop, and improve machine learning and statistical models to drive Swish’s core algorithms for producing state-of-the-art sports betting products, develop contextualized feature sets using specific domain knowledge in soccer, contribute to all stages of model development from proof-of-concept to deployment, analyze results and outputs to assess model performance, adhere to software engineering best practices, and document modeling work while presenting findings to stakeholders and other partners.
Skills
Swish Analytics
Sports analytics and optimization tools provider
About Swish Analytics
Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.
San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees