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Remote Data Science Sports Jobs in California (NOW HIRING)

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Maintain a pulse on the current state of data science and basketball analytics * Other duties as ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Fullpower-AI delivers a complete B2B IoT platform for AI-powered algorithms, remote contactless ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Dlapiper

Data Scientist

San Diego, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

San Francisco, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Palo Alto, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Los Angeles, CA · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... Knowledge of data science and machine learning concepts * A strong interest in sports and sports ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

This is a remote position. Duties * Support production systems and help triage issues during live ... sports data delivery frameworks Requirements * BS/BA degree in Mathematics, Computer Science, or ...

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All JobsData Science Sports JobsRemote Data Science Sports JobsRemote Data Science Sports Jobs in California

Remote Data Science Sports information

What is a remote data science sports job?

A remote data science sports job involves analyzing sports-related data to extract insights, build predictive models, and support decision-making, all while working from a location outside of a traditional office, typically from home. Professionals in this role use statistical methods, programming, and machine learning to evaluate player performance, game strategies, or fan engagement. Their work helps sports teams, leagues, media companies, and betting firms make evidence-based decisions. Remote positions offer flexibility and often require strong communication skills to collaborate with teams virtually. The demand for these roles is growing as the sports industry increasingly relies on data-driven strategies.

What are the key skills and qualifications needed to thrive as a remote data science sports professional?

To thrive as a Remote Data Science Sports professional, you need a strong background in statistics, data analysis, and sports knowledge, often supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with programming languages such as Python or R, proficiency in data visualization tools, and experience with machine learning frameworks are typically required. Excellent problem-solving abilities, communication skills, and self-motivation are crucial soft skills for collaborating remotely and translating complex data into actionable insights. These skills ensure accurate sports data modeling, effective remote teamwork, and valuable contributions to decision-making in sports organizations.

How do remote data science professionals in the sports industry typically collaborate with coaches and analysts to turn data insights into actionable strategies?

Remote data science professionals in the sports industry often work closely with coaches, analysts, and other stakeholders through regular virtual meetings and collaborative platforms. They translate complex data findings into intuitive visualizations and reports, making it easier for non-technical team members to understand and apply insights. Communication and responsiveness are key, as data scientists may need to quickly adjust analyses based on feedback or new priorities from the sports staff. Building strong relationships and maintaining clear channels of communication help ensure that data-driven recommendations are effectively integrated into training, game strategies, and player development.

What is the difference between Remote Data Science Sports vs Remote Data Analysis Sports?

AspectRemote Data Science SportsRemote Data Analysis Sports
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; programming skills in Python/RBachelor's in Data Analysis, Statistics, or related fields; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative teams, research-focused, often involves modeling and machine learningData interpretation, reporting, and visualization, often in business contexts
Employer & Industry UsageTech companies, sports analytics firms, media outletsSports teams, media companies, sports analytics agencies

Remote Data Science Sports involves advanced modeling, machine learning, and statistical analysis, requiring higher technical credentials. Remote Data Analysis Sports focuses on interpreting data, creating reports, and visualizations. Both roles are common in sports industry analytics but differ in complexity and technical depth.

Can data science be used in sports?

Data science is widely used in sports to analyze player performance, optimize strategies, and improve team decision-making. Sports data analysts and data scientists utilize tools like machine learning, statistical models, and data visualization to gain insights and enhance athletic outcomes.

Do sports teams hire remote data scientists?

Some sports teams and organizations hire remote data scientists to analyze player performance, game strategies, and fan engagement using data analytics tools. These roles often require skills in statistical modeling, machine learning, and programming languages like Python or R, and may involve collaboration with on-site staff or remote work environments.

How much do remote data science sports make?

Remote data science roles in sports typically have salaries ranging from $70,000 to $130,000 annually, depending on experience, education, and the complexity of projects. Senior positions or those requiring specialized skills in machine learning or sports analytics can earn higher compensation, often exceeding $150,000. These roles often require proficiency in programming languages like Python or R and familiarity with sports data sources and analytics tools.

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

The most popular types of Data Science Sports jobs in California are:

What are popular job titles related to Remote Data Science Sports jobs in California?

For Remote Data Science Sports jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Data Science Sports jobs in California look for?

The top searched job categories for Remote Data Science Sports jobs in California are:

What cities in California are hiring for Remote Data Science Sports jobs?

Cities in California with the most Remote Data Science Sports job openings:

Remote Data Science Sports jobs near you
Infographic showing various Remote Data Science Sports job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Data Scientist

Golden State

San Francisco, CA • Remote

$165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago

Key responsibilities

  • Develop, deploy, and monitor predictive models

  • Build features for predictive models

  • Partner with data analysts to integrate the results into decision making

Job description

About the Position

The Golden State Warriors are looking for a Data Scientist to join our growing multidisciplinary team. In this role, you will make a positive impact on our research, predictive modeling, and long-term decision making to support our Basketball Operations stakeholders. Additionally, you will work closely with data engineering to deploy and monitor your work. This position reports to the SVP Basketball, Analytics and Innovation.

Come share your expertise while learning more about this growing sports and entertainment organization that values your initiative and dedication!

This is full-time remote position.

Key Responsibilities

  • Develop, deploy and monitor predictive models
  • Build features for predictive models
  • Partner with data analysts to integrate the results into decision making
  • Analyze large data sets to discover trends and patterns
  • Maintain a pulse on the current state of data science and basketball analytics
  • Other duties as assigned

Required Experience & Skills

  • Bachelor's degree, preferably in Computer Science or related technical field, or equivalent work experience
  • 4+ years of experience working with data analytics team 
  • Extensive experience with python
  • Advanced knowledge of predictive modeling with experience using related libraries (e.g., Keras, scikit-learn, XGBoost, PyMC3)
  • Experience with SQL and relational databases
  • Experience working in cloud environments (e.g., GCP, AWS, Azure)
  • Proficiency in Microsoft Office Suite and Git
  • Experience with scalable ETL/ELT, and operating predictive models in production a plus
  • Experience with distributed computing and streaming framework a plus
  • Ability to build positive working relationships with clients and peers at all levels within the organization
  • Excellent written and verbal communication; strong presentation skills with the ability to influence technical and non-technical partners
  • Ability to balance multiple projects at once in a fast-paced work environment
  • Passion and curiosity for basketball 
  • Flexible work schedule including nights, weekends and holidays throughout the year

Compensation

  • $165,000 Per Year + Bonus
  • Comprehensive Medical, Dental and Vision benefits for employees and dependents
  • Employer 401K match
  • Vacation, Summer Half-Day Fridays and a generous paid time off plan for pregnancy and parental leaves
  • Warriors home tickets, team store discount and more!

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 Golden State is an equal opportunity employer.

We will ensure that qualified applicants with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Want to learn more about who we are and what we value? Visit www.warriors.com/employment

Please refer to our California Privacy Notice for more information about how we process your personal information, and your data protection rights.

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