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Assistant Sports Analytics Jobs in California (NOW HIRING)

Miamioh

Assistant Teaching Professor

Laws, CA · On-site

Job Title Assistant Teaching Professor Department Sport Leadership and Management Department Worker ... Analytics. Sport Leadership and Management (SLAM) is a growing department serving 800 ...

i9 Sports

Assistant Program Director

CA · On-site

$20 - $22/hr

Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the ... Analyze and assess equipment needs * organize and maintain warehouse organization * Prepare for ...

i9 Sports

Assistant Program Director

CA · On-site

$20 - $22/hr

Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the ... Analyze and assess equipment needs * organize and maintain warehouse organization * Prepare for ...

i9 Sports

Assistant Program Director

CA · On-site

$20 - $22/hr

Online training opportunities Company Overview Founded in Tampa, Florida, i9 Sports ® is the ... Analyze and assess equipment needs * organize and maintain warehouse organization * Prepare for ...

Hive

Analyst, Media & Sports

San Francisco, CA · On-site

$60K - $85K/yr

Communicate outcomes of various projects and analytics to ensure growth and development of business ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Hive

Analyst, Media & Sports

San Francisco, CA

$60K - $85K/yr

Communicate outcomes of various projects and analytics to ensure growth and development of business ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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All JobsSports Analytics JobsAssistant Sports Analytics JobsAssistant Sports Analytics Jobs in California

Assistant Sports Analytics information

What is the difference between Assistant Sports Analytics vs Sports Data Analyst?

AspectAssistant Sports AnalyticsSports Data Analyst
Required CredentialsBachelor's degree in sports management, statistics, or related fieldBachelor's or master's in statistics, data science, or related field
Work EnvironmentSupportive team, sports organizations, or teamsData-focused roles within sports organizations or analytics firms
Employer & Industry UsageEntry-level support in sports analytics departmentsAnalyzing sports data to inform decisions, often more independent
Common Search & ComparisonYesYes

Assistant Sports Analytics roles typically involve supporting sports analytics teams with data collection and basic analysis, often requiring a bachelor's degree. Sports Data Analysts perform more in-depth data analysis to inform strategic decisions, often requiring additional experience or advanced degrees. Both roles are common in sports organizations and share similar educational backgrounds, but differ in responsibility level and scope.

What are the most commonly searched types of Sports Analytics jobs in California?

The most popular types of Sports Analytics jobs in California are:

What are popular job titles related to Assistant Sports Analytics jobs in California?

For Assistant Sports Analytics jobs in California, the most frequently searched job titles are:

What job categories do people searching Assistant Sports Analytics jobs in California look for?

The top searched job categories for Assistant Sports Analytics jobs in California are:

What cities in California are hiring for Assistant Sports Analytics jobs?

Cities in California with the most Assistant Sports Analytics job openings:

Assistant Sports Analytics jobs near you
Infographic showing various Assistant Sports Analytics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, 1% Temporary, and 3% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.

Machine Learning Engineer

Swish Analytics

San Francisco, CA • Remote

$160K/yr

Full-time

Re-posted 6 days ago

Job 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 enterprise clients.

The Data Science team is hiring an experienced Machine Learning Engineer with a background building machine learning and statistical modeling frameworks from scratch. They can assist with optimizing the different aspects of the modeling process (Data Validation, Data Visualization, Data Stores & Structures, Feature Engineering, Model Training & Evaluation, Deployments) and improving a variety of Swish products. They will know when to “roll your own” and when to outsource a particular step in the modeling process. They will engineer custom solutions to solve complex data-related sports challenges across multiple leagues.

This position is 100% remote

Responsibilities:

  • Design, prototype, implement, evaluate, optimize systems to generate sports datasets and predictions with high accuracy and low latency.

  • Evaluate internal modeling frameworks and tools to optimize data scientist's modeling workflow.

  • Build, test, deploy and maintain production systems.

  • Work closely with DevOps and Data Engineering teams to assist with implementation, optimization and scale workloads on Kubernetes using CI/CD, automation tools and scripting languages.

  • Support maintenance and optimization of cloud-native EDW and ETL solutions.

  • Maintain and promote best practices for software development, including deployment process, documentation, and coding standards.

  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.

  • Use extensive experience to build, test, debug, and deploy production-grade components.

  • Experience applying large scale data processing techniques to develop scalable and innovative sports betting products.

  • Participate in development of database structures that fit into the overall architecture of Swish systems

Qualifications:

  • Masters degree in Computer Science, Applied Mathematics, Data Science, Computational Physics/Chemistry or related technical subject area

  • 5+ years of demonstrated experience developing and delivering clean and efficient production code to serve business needs

  • A proven background in quantitative analytics, trading, or engineering is required for this position

  • Demonstrated experience developing data science modeling systems and infrastructure at scale

  • Experience with Python and exposure to modern machine learning frameworks

  • Proficient in SQL; experience with MySQL

  • Background and/or interest in Rust preferred

  • Affinity for teamwork and collaboration with others to solve problems, share knowledge, and provide feedback

  • Strong communication skills when discussing technical concepts with technical and non-technical colleagues

Base salary: starting at $160,000 base plus bonus potential

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.