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Full Time Nba Data Science Jobs (NOW HIRING)

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 ...

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 ...

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 ...

We are seeking a highly motivated Sr. Data Scientist to lead end-to-end Next Best Action (NBA) strategy, delivery, and optimization initiatives. This role combines advanced analytics, business ...

... NBA operations (approximately 50%) . * Excellent stakeholder communication and cross-functional collaboration skills. Required Qualifications * Bachelor's or Master's degree in Data Science ...

One of our clients, a fast growing FinTech company that provides an online marketplace for commercial loans to small businesses, is looking to hire a full-time Director, Data Science to lead ...

... NBA) models that determine the optimal marketing action across channel, promotion, and creative ... This role sits at the intersection of marketing strategy and data science, and requires an ability ...

... NBA) models that determine the optimal marketing action across channel, promotion, and creative ... This role sits at the intersection of marketing strategy and data science, and requires an ability ...

Senior GenAI Engineer

New York, NY · On-site +1

$60.50 - $78/hr

Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related ... The NBA is committed to providing a safe and healthy workplace. To safeguard our employees and ...

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Full Time Nba Data Science information

What is the difference between Full Time Nba Data Science vs Full Time Nba Data Analyst?

AspectFull Time Nba Data ScienceFull Time Nba Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; programming skills (Python, R); knowledge of machine learningDegree in Data Analysis, Statistics, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentCollaborative, technical teams; focus on modeling and predictive analyticsBusiness-focused; interpret data for decision-making, reporting, and insights
Employer & Industry UsageNBA teams, sports analytics firms, media companiesNBA teams, sports media, marketing agencies

Full Time Nba Data Science roles typically require advanced technical skills and focus on developing predictive models, while Full Time Nba Data Analysts concentrate on interpreting data for strategic decisions. Both roles are integral to NBA organizations but differ in technical depth and focus areas.

More about Full Time Nba Data Science jobs
What cities are hiring for Full Time Nba Data Science jobs? Cities with the most Full Time Nba Data Science job openings:
What are the most commonly searched types of Nba Data Science jobs? The most popular types of Nba Data Science jobs are:
What states have the most Full Time Nba Data Science jobs? States with the most job openings for Full Time Nba Data Science jobs include:
Infographic showing various Full Time Nba Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

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.