[Remote] Soccer Data Scientist at Swish Analytics

San Francisco, California, United States

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$100,000 – $175,000Compensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Analytics, Data Science, Betting & Fantasy SportsIndustries

Skills

Key technologies and capabilities for this role

Machine LearningStatistical ModelingData AnalysisFeature EngineeringModel DeploymentExperimentationSoftware Engineering Best PracticesData Visualization

Questions & Answers

Common questions about this position

What is the salary range for the Soccer Data Scientist position?

The salary range is $100,000 - $175,000, which encompasses multiple levels and depends on experience.

Is this position remote?

Yes, this is a remote position.

What skills and experience are required for this role?

Requirements include a Master's degree in Data Analytics, Data Science, Computer Science or related field, 3+ years of experience developing machine learning/statistical models for sports or sports betting, expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods, experience with SQL, Python, GitHub, CI/CD, and AWS.

What is the company culture like at Swish Analytics?

The company seeks team-oriented individuals with passion for predictive data in a fast-paced, creative, and evolving environment that values technical excellence, while working in uncharted territory.

What makes a strong candidate for this Soccer Data Scientist role?

Strong candidates have a Master's degree, proven experience in production-scale soccer or sports betting models, expertise in advanced statistical and ML methods, technical skills in Python/SQL/AWS/Git, plus leadership and communication skills to collaborate across teams.

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

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.

Consumer privacy concerns may impact Swish Analytics' data collection practices.

Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.

The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.

Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.

The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.

Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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