Tennis Data Scientist
@ Swish Analytics

Hybrid
Hybrid
Posted 3 days ago

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Job Details

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 are 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.

Job Description

Swish Analytics is hiring a Tennis Data Scientist to join our ever-growing team! As a Tennis Data Scientist, you will support our Sports Data Models by developing core components of Swish's data products.

Duties

  • Ideate, develop and improve machine learning and statistical models for state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from proof-of-concepts to deployment.
  • Continuously improve model performance using rigorous offline and online experimentation insights.
  • Analyze outputs to assess model performance and identify weaknesses.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present findings to technical and non-technical stakeholders.

Requirements

  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related field (Master's preferred).
  • Experience developing models at production scale for tennis or sports betting.
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, and Markov Chain Monte Carlo methods.
  • Minimum of 4+ years experience delivering effective machine learning/statistical models in sports or sports betting.
  • Strong working knowledge of SQL and Python.
  • Experience with source control tools (GitHub) and CI/CD processes.
  • Experience working in AWS environments.
  • Strong leadership skills with proven ability to solve complex problems collaboratively.
  • Excellent communication skills for both technical and non-technical audiences.

Compensation

Base salary ranging from $120,000 to $175,000 depending on experience.

Equal Opportunity

Swish Analytics is an Equal Opportunity Employer. All qualified candidates will be considered.

Key skills/competency

  • Tennis
  • Data Science
  • Machine Learning
  • Statistical Models
  • Sports Betting
  • Python
  • AWS
  • SQL
  • Leadership
  • Model Deployment
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How to Get Hired at Swish Analytics

🎯 Tips for Getting Hired

  • Research Swish Analytics culture: Understand mission, vision, and latest projects.
  • Customize your resume: Tailor skills to sports analytics and ML roles.
  • Showcase technical expertise: Highlight Python, SQL, and AWS experience.
  • Prepare for interviews: Practice explaining model development stages clearly.

📝 Interview Preparation Advice

Technical Preparation

Review machine learning algorithms basics.
Practice Python and SQL coding exercises.
Understand AWS environment setup.
Study sports betting model case studies.

Behavioral Questions

Describe a challenging team project.
Explain your problem-solving approach.
Discuss experience with ambiguity.
Share collaboration examples with diverse teams.

Frequently Asked Questions