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Soccer Data Scientist - Job Opportunity at Swish Analytics

Remote, US
Full-time
Senior
Posted: March 12, 2025
Remote
USD 100,000-175,000 per year

Key Responsibilities

Lead development of machine learning and statistical models for sports betting products with direct P&L impact
Design and implement soccer-specific feature engineering leveraging domain expertise
Drive end-to-end model lifecycle from conceptualization through production deployment
Conduct rigorous experimentation and optimization to enhance model performance
Perform detailed analysis of model outputs and metrics to guide development priorities
Maintain high code quality standards and contribute to shared codebases
Deliver technical communications to diverse stakeholders

Requirements

Education

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

Experience

3+ years developing machine learning/statistical models in sports/betting

Required Skills

Probability Theory Machine Learning Inferential Statistics Bayesian Statistics Markov Chain Monte Carlo methods SQL Python GitHub CI/CD AWS Leadership skills Communication skills
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Sauge AI Market Intelligence

Industry Trends

The sports betting analytics market is experiencing rapid growth following US legalization, with an estimated CAGR of 25% through 2025. Data science roles in this sector are seeing increased demand as operators seek to gain competitive advantages through sophisticated modeling. Real-time analytics and automated trading systems are becoming industry standard, driving need for specialists who can develop robust, scalable solutions. Integration of machine learning with traditional statistical approaches is revolutionizing odds-making, creating opportunities for innovation in predictive modeling.

Salary Evaluation

The offered range of $100,000-175,000 is competitive for senior data science roles in the sports betting industry, with top performers commanding higher compensation through bonuses and equity. The wide range suggests multiple levels within the role and significant upward mobility.

Role Significance

Typically part of a specialized team of 5-8 data scientists, working closely with engineering and product teams
Senior individual contributor role with significant autonomy in model development and potential for technical leadership

Key Projects

Development of real-time odds adjustment systems Creation of automated risk management frameworks Design of novel feature engineering approaches for soccer-specific metrics

Success Factors

Deep understanding of soccer dynamics and betting markets Ability to balance model complexity with production requirements Strong statistical intuition combined with practical software engineering skills Experience with high-stakes, real-time prediction systems

Market Demand

Very High - The convergence of sports analytics, machine learning, and regulated betting markets has created strong demand for specialists with both technical expertise and domain knowledge in soccer.

Important Skills

Critical Skills

Deep knowledge of soccer statistics and game dynamics Advanced probability modeling and Bayesian inference Production-grade Python development skills Experience with real-time prediction systems

Beneficial Skills

Understanding of betting market dynamics Experience with streaming data architectures Knowledge of automated trading systems Familiarity with sports data providers and APIs

Unique Aspects

Rare combination of sports domain expertise and advanced statistical modeling requirements
Opportunity to work on novel problems in a rapidly evolving regulatory landscape
Direct impact on product development and business strategy through model performance

Career Growth

2-3 years in role before advancement, depending on performance and company growth

Potential Next Roles

Lead Data Scientist Head of Sports Analytics Chief Data Officer Technical Product Manager

Company Overview

Swish Analytics

Swish Analytics is positioning itself as a technology-first sports analytics provider, focusing on data-driven products for the growing sports betting market

Growing startup in the competitive sports analytics space, differentiated by focus on engineering-driven solutions
US-focused with potential for international expansion as betting markets mature
Fast-paced startup environment emphasizing technical excellence and innovation in sports analytics
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