ZipRecruiter

Log In

1

Freelance Basketball Data Analyst Jobs (NOW HIRING)

Swish Analytics

Basketball Data Scientist

San Francisco, CA · On-site +1

$130K/yr

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

AEG

Associate Basketball Analyst, Coaching

El Segundo, CA · On-site

$115K - $125K/yr

Basketball Data Strategy, Basketball Operations Reports to: Basketball Analyst, Coaching Manages: None Position Summary: The AssociateBasketball Analyst - Coaching, Basketball Data Strategy occupies ...

Swish Analytics

Sports Data Analyst

San Francisco, CA · On-site +1

Deep knowledge of football, basketball or baseball; including roster compositions of professional ... Data Extraction, Wrangling and Analysis in Python * Strong SQL querying skills * Attention to ...

Orlando Magic

Data Scientist, Machine Learning

Orlando, FL · On-site

... analysts, engineers, and basketball stakeholders to turn research ideas into reliable tools. • ... data into clear, actionable insights. • All other duties as assigned. Qualifications : Required ...

AEG

Data Scientist, Machine Learning

Orlando, FL · On-site

The Data Scientist, Machine Learning will support Basketball Operations by developing and deploying ... Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into ...

next page

Showing results 1-20

People also search for

All JobsFreelance Basketball Data Analyst Jobs

Freelance Basketball Data Analyst information

See salary details

$13

$32

$61

How much do freelance basketball data analyst jobs pay per hour?

As of May 29, 2026, the average hourly pay for freelance basketball data analyst in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.
More about Freelance Basketball Data Analyst jobs
What cities are hiring for Freelance Basketball Data Analyst jobs? Cities with the most Freelance Basketball Data Analyst job openings:
What are the most commonly searched types of Basketball Data Analyst jobs? The most popular types of Basketball Data Analyst jobs are:
What states have the most Freelance Basketball Data Analyst jobs? States with the most job openings for Freelance Basketball Data Analyst jobs include:
What job categories do people searching Freelance Basketball Data Analyst jobs look for? The top searched job categories for Freelance Basketball Data Analyst jobs are:
Freelance Basketball Data Analyst jobs near you
Infographic showing various Freelance Basketball Data Analyst job openings in the United States as of May 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.
Basketball Data Scientist

Basketball Data Scientist

Swish Analytics

San Francisco, CA

$130K/yr

Full-time

Posted 18 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 hiring Basketball 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. We're hiring a Data Scientist to support our Sports Data Models

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:

  • Bachelor's degree in Data Analytics, Data Science, Computer Science or related technical subject area; Masters highly preferred

  • Demonstrated experience developing models at production scale for Basketball or sports betting

  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods

  • Minimum of 4+ 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: Starting at $130,000

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.