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On Call Basketball Data Analyst Jobs (NOW HIRING)

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 ...

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

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 ...

Partner closely with analysts, engineers, and basketball stakeholders to turn research ideas into ... Willingness to work a flexible schedule including nights and weekends and be on-call as necessary ...

R154321 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Rotating shifts, including on-call support, working weekends and/or irregular long hours as well as ...

R159245 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Rotating shifts, including on-call support, working weekends and/or irregular long hours as well as ...

Position Summary Data Analysts are responsible for importing, transforming, and validating (or ... Able to support off-hours work as required, including weekends, holidays, and 24/7 on call ...

R159245 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Rotating shifts, including on-call support, working weekends and/or irregular long hours as well as ...

R155816 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Rotating shifts, including on-call support, working weekends and/or irregular long hours as well as ...

R154321 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Rotating shifts, including on-call support, working weekends and/or irregular long hours as well as ...

R155816 Data Analyst (Open) How You'll Help Transform Healthcare: Applies technical, analytical ... Rotating shifts, including on-call support, working weekends and/or irregular long hours as well as ...

Data Analyst

Tulsa, OK · On-site

$65K/yr

... on call as requested. • Must be willing and able to perform all job-related travel normally ... EHR/data analysis preferred • 2+ years' experience in a clinical setting such as Medical ...

New

Data Analyst

Mountain View, CA · On-site +1

$90K - $100K/yr

We are looking for a detail-oriented Data Analyst to own the integrity, flow, and delivery of data across our reporting ecosystem - with a particular focus on call center operations. You will serve ...

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On Call Basketball Data Analyst information

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$34K

$82.6K

$136K

How much do on call basketball data analyst jobs pay per year?

As of May 29, 2026, the average yearly pay for on call basketball data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Basketball Data Analyst jobs? The most popular types of Basketball Data Analyst jobs are:
Infographic showing various On Call Basketball Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 1% Full Time, and 97% Part Time. Highlights an 80% Physical, and 20% Remote job distribution, with an average salary of $82,640 per year, or $39.7 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.