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Tennis Data Analytics Jobs in California (NOW HIRING)

Swish Analytics

Tennis Data Scientist

San Francisco, CA · On-site +1

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

Tennis Data Scientist

San Francisco, CA

$135K - $190K/yr

Company Description Swish Analytics is a sports analytics, betting and fantasy startup building the ... Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Deep knowledge of a second sport including football, basketball, baseball, hockey or tennis * Exposure to the data science process and tech stack * Anomaly Detection Techniques Swish Analytics is an ...

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Tennis Data Analytics information

What are the key skills and qualifications needed to thrive as a Tennis Data Analyst, and why are they important?

To thrive as a Tennis Data Analyst, you need strong analytical skills, a background in statistics or data science, and a solid understanding of tennis, often supported by a relevant degree. Proficiency with statistical software (such as R or Python), data visualization tools, and experience with sports analytics platforms are typically required. Excellent communication, attention to detail, and problem-solving abilities are vital soft skills for translating complex data into actionable insights. These skills ensure accurate performance analysis and strategic decision-making, directly impacting player development and competitive outcomes.

What are some typical projects or responsibilities for someone working in tennis data analytics?

Professionals in tennis data analytics often work on projects such as player performance analysis, match outcome predictions, and identifying patterns in serve and rally statistics. Daily tasks may include cleaning and modeling large datasets, developing dashboards or reports for coaches and players, and collaborating with technical staff to improve data collection methods. The role frequently involves cross-functional teamwork with coaches, sports scientists, and IT specialists to translate analytical findings into actionable strategies. Staying updated with the latest analytics tools and trends in sports technology is also crucial for success and career growth in this field.

What is tennis data analytics?

Tennis data analytics is the process of collecting, analyzing, and interpreting data related to tennis matches, players, and tournaments. Analysts use various statistical methods and software to evaluate player performance, track match statistics, identify patterns, and create predictive models. This information helps coaches, players, and organizations make informed decisions about strategy, training, and player development. The field combines knowledge of tennis with strong skills in mathematics, computer science, and data visualization. Tennis data analytics is increasingly important at professional and amateur levels to gain a competitive edge.

What is the difference between Tennis Data Analytics vs Tennis Data Coordinator?

AspectTennis Data AnalyticsTennis Data Coordinator
Required CredentialsDegree in Sports Management, Data Science, or related field; proficiency in data analysis toolsDegree in Sports Management or related; familiarity with data entry and basic analysis
Work EnvironmentAnalytical setting, often office-based, working with software and datasetsEvent or club-based, managing data collection and organization during tournaments or practices
Employer & Industry UsageSports analytics firms, professional tennis organizations, clubsTennis clubs, tournament organizers, sports event companies

While Tennis Data Analytics focuses on analyzing and interpreting tennis data to inform strategies, Tennis Data Coordinators handle the collection and organization of data during events. Both roles require familiarity with tennis and data tools, but Tennis Data Analytics emphasizes analysis skills, whereas Tennis Data Coordinators focus on data management and logistics.

What are popular job titles related to Tennis Data Analytics jobs in California? For Tennis Data Analytics jobs in California, the most frequently searched job titles are:
What job categories do people searching Tennis Data Analytics jobs in California look for? The top searched job categories for Tennis Data Analytics jobs in California are:
What cities in California are hiring for Tennis Data Analytics jobs? Cities in California with the most Tennis Data Analytics job openings:
Tennis Data Analytics jobs near you
Tennis Data Scientist

Tennis Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$135K - $190K/yr

Full-time

Posted 8 days ago

Job description

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're 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. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and consumer/enterprise clients.
Job Description
Swish Analytics is looking for a Tennis Data Scientists to join our ever-growing team! Data Science is at the core of our business, so this team has true ownership and impact over developing core components of Swish's data products. This position is remote from the USA.
Duties:
  • Ideate, develop and improve machine learning and statistical models that drive Swish's core algorithms for producing state-of-the-art sports betting products.
  • Develop contextualized feature sets using sports specific domain knowledge.
  • Contribute to all stages of model development, from creating proof-of-concepts and beta testing, to partnering with data engineering and product teams to deploy new models.
  • Strive to constantly improve model performance using insights from rigorous offline and online experimentation.
  • Analyze results and outputs to assess model performance and identify model weaknesses for directing development efforts.
  • Adhere to software engineering best practices and contribute to shared code repositories.
  • Document modeling work and present to stakeholders and other technical and non-technical partners.

Requirements:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for Tennis or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ years of demonstrated experience developing and delivering effective machine learning and/or statistical models to serve business needs in sports or sports betting
  • Experience with relational SQL & Python
  • Experience with source control tools such as GitHub and related CI/CD processes
  • Experience working in AWS environments etc
  • Proven track record of strong leadership skills. Has shown ability to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions
  • Excellent communication skills to both technical and non-technical audiences

Base salary: $135,000 - $190,000
Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer's discretion, this position may require successful completion of background and reference checks.
Department Data Science Role Tennis Team Locations San Francisco, CA - Remote Remote status Fully Remote

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