[Remote] Tennis Data Scientist at Swish Analytics

San Francisco, California, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Analytics, Betting, Fantasy SportsIndustries

Skills

Key technologies and capabilities for this role

Machine LearningStatistical ModelingFeature EngineeringData AnalysisSports AnalyticsPythonSQLSoftware EngineeringExperimentationData Visualization

Questions & Answers

Common questions about this position

What is the base salary range for the Tennis Data Scientist position?

The base salary ranges from $120,000 to $175,000, encompassing multiple levels and depending on experience.

Is this Tennis Data Scientist role remote or does it require office work?

This information is not specified in the job description.

What key skills and experience are required for the Tennis Data Scientist role?

Required skills include expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods, 4+ years developing ML/statistical models for sports or betting, experience with SQL, Python, GitHub, AWS, and tennis or sports betting domain knowledge.

What is the company culture like at Swish Analytics?

Swish Analytics fosters a fast-paced, creative, and continually-evolving environment that values team-oriented individuals with passion for predictive data, technical excellence, and comfort in uncharted territory.

What makes a strong candidate for the Tennis Data Scientist position?

A strong candidate has a Master's preferred in a technical field, 4+ years of production-scale ML model experience in tennis or sports betting, expertise in advanced stats/ML methods, Python/SQL/AWS skills, leadership, and excellent communication.

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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