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Internship Nba Data Science Jobs (NOW HIRING)

Fervo Energy

Data Science Internship

Houston, TX

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

Fervo Energy Company

Data Science Internship

Houston, TX · On-site

Internship Overview You won't be running coffee orders or shuffling paperwork this summer. At Fervo ... As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses ...

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 ...

Unchain Data

Data Science Intern

San Francisco, CA · On-site

$50/hr

Expect to get together quarterly for intense in-person working sessions called "surges." The Role This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution ...

New

Unchain Data

$50/hr

Expect to get together quarterly for intense in-person working sessions called "surges." The Role This is a 12-week internship during summer 2027. As a Data Science Intern on the Strategy, Execution ...

New

Athena LLC

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

Allied Solutions LLC

Data Science Intern

Carmel, IN · On-site

The Allied Solutions internship program is a robust and consistent internship program for rising ... The Data Science Intern will join the Data Intelligence team and gain hands-on experience applying ...

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

As of Sep 11, 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 September 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Data Science Internship

Houston, TX

Fervo Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees
Learn more about Fervo Energyexternal

Full-time, Internship

Posted 6 days ago

Job description

Description

Internship Overview 


You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next. 


Position Description


Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station development in Milford, Utah. As a Data Scientist Intern, you'll join Fervo's Data Science team to help build models and analyses that turn data into decisions across the business. 

You'll work alongside engineers and data scientists to explore datasets, build predictive models, and translate findings into insights that inform real decisions across drilling, operations, and commercial teams. 

Requirements

 Responsibilities 

  • Explore and analyze datasets to identify trends and opportunities 
  • Build and validate predictive models and statistical analyses 
  • Support development of machine learning models for real-world business problems 
  • Communicate findings and recommendations to technical and non-technical stakeholders 

Required Qualifications 

  • Master's or PhD candidate wrapping up within the next year - we're building a pipeline toward full-time offers 
  • Pursuing a degree in Data Science, Statistics, Computer Science, or a related quantitative field 
  • Strong written and verbal communication skills, including comfort presenting to stakeholders and leadership 
  • Eagerness to learn, take initiative, and adapt quickly to new challenges 
  • Proficiency in Python and common data science libraries (e.g., Pandas, NumPy, Scikit-learn) 

Preferred Qualifications 

  • Experience with machine learning frameworks (e.g., PyTorch, TensorFlow) 
  • Familiarity with SQL and data visualization tools 
  • Interest in applying data science to energy or industrial problems 

Apply