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Internship Nba Data Science Jobs (NOW HIRING)

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

Knowledge of data science and machine learning concepts * Professional working experience with MLB or NBA data Salary: Starting at $145,000 - DOE Swish Analytics is an Equal Opportunity Employer. All ...

Athena LLC

Interns leave with a strong understanding of industry-standard data science practices and potential references for your career.

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How much do internship nba data science jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for internship nba data science in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is the difference between Internship Nba Data Science vs Data Analyst?

AspectInternship Nba Data ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skillsBachelor's degree in related field, some certifications
Work EnvironmentSports industry, team or organization-specificVarious industries, corporate or agency settings
Employer & Industry UsageNBA teams, sports analytics firmsBusinesses across sectors like finance, marketing, healthcare
Common Search & ComparisonYesNo

Internship Nba Data Science roles focus on applying data analysis within the sports industry, specifically basketball, often involving sports-specific datasets and tools. Data Analysts work across multiple industries, analyzing data to inform business decisions. While both roles require analytical skills, internships are typically entry-level and project-based, whereas Data Analyst positions may require more experience and broader industry knowledge.

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Internship Nba Data Science jobs near you
Infographic showing various Internship Nba Data Science job openings in the United States as of July 2026, with employment types broken down into 23% Internship, 69% Full Time, and 8% Part Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Engineer

Swish Analytics

San Francisco, CA • Remote

$145K/yr

Full-time

Posted 9 days ago

Job description

Company Overview

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

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the infrastructure and delivery of our core consumer and enterprise data offerings as well as helping support our coverage of non-US sports. We’re a team passionate about accurate predictions and real-time data, and hope you find satisfaction in building new products with the latest and greatest technologies. This is a remote position.

Duties

  • Support production systems and help triage issues during live sporting events

  • Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production

  • Build new sports betting data products and predictions offerings

  • Integrate large and complex real-time datasets into new consumer and enterprise products

  • Develop production-level predictive analytics into enterprise-grade APIs

  • Contribute to the design and implementation of new, fully-automated sports data delivery frameworks

Requirements

  • BS/BA degree in Mathematics, Computer Science, or related STEM field

  • Minimum of 4+ years of demonstrated experience writing production level code (Python)

  • Proficiency in Python and SQL (preferably MySQL) Demonstrated experience with Airflow

  • Demonstrated experience with Kubernetes

  • Experience building end-to-end ETL pipelines

  • Experience utilizing REST APIs

  • Experience with version control (git), continuous integration and deployment, shell scripting, and cloud-computing infrastructures (AWS)

  • Experience with web scraping and cleaning unstructured data

  • Knowledge of data science and machine learning concepts

  • Professional working experience with MLB or NBA data

Salary: Starting at $145,000 - DOE

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.