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Internship Nfl Data Scientist Jobs (NOW HIRING)

Swish Analytics is looking for an NFL 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 ...

Swish Analytics is looking for an NFL 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 ...

We are a collection of executives, engineers, data scientists, and visionaries from NFL clubs, technology startups, finance, and academia. Our data-driven platform empowers teams with insights and ...

CACI has an immediate opening for a Data Scientist supporting the United States Fleet Forces Command (USFFC) N41 under the Naval Forces Logistics (NFL) II contract on site at our Hampton Roads ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other data scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Data Scientist

Boston, MA · On-site

$160K - $180K/yr

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Experience in projects or internships involving collaboration with teams is a plus. * Experience in ...

Our Data Science team sits at the heart of innovation, driving impactful solutions across customer ... internship/work experience.

... for data science interns in the areas of natural language processing, natural language generation, and deep learning. Recognized by Gartner, INC, Harvard Business Review, etc, we are passionate ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

Lead/mentor other Data Scientists, interns, and other technical work teams * Make strategic recommendations on data collection, integration, and retention requirements, incorporating business ...

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Internship Nfl Data Scientist information

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$165K

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How much do internship nfl data scientist jobs pay per year?

As of Jul 18, 2026, the average yearly pay for internship nfl data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an NFL Data Scientist Intern do?

An NFL Data Scientist Intern works with large sets of football-related data to help teams make informed decisions. Their tasks often include collecting, cleaning, and analyzing player statistics, game data, and other relevant information using programming languages like Python or R. They also develop predictive models and data visualizations to support coaching, scouting, or business operations. Interns typically collaborate with experienced data scientists and may present their findings to various departments within the organization.

What are the key skills and qualifications needed to thrive as an NFL Data Scientist Intern, and why are they important?

To excel as an NFL Data Scientist Intern, you need a solid background in statistics, data analysis, and programming—typically with coursework or experience in computer science, mathematics, or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau, as well as knowledge of machine learning frameworks, is highly valuable. Strong problem-solving abilities, teamwork, and effective communication set standout candidates apart in this collaborative and fast-paced environment. These skills enable interns to derive actionable insights from complex sports data, supporting decision-making and competitive strategy within the organization.

What is the difference between Internship Nfl Data Scientist vs Internship Nfl Data Analyst?

AspectInternship Nfl Data ScientistInternship Nfl Data Analyst
Required SkillsProgramming, statistical modeling, machine learningData visualization, reporting, basic analytics
Work EnvironmentResearch-focused, predictive modeling, advanced analyticsData reporting, dashboard creation, descriptive analysis
Common Employer UsagePlayer performance prediction, game strategyFan engagement, operational reporting

Internship Nfl Data Scientists focus on developing predictive models and advanced analytics, requiring skills in programming and machine learning. In contrast, Internship Nfl Data Analysts primarily handle data reporting and visualization tasks. Both roles are valuable in the NFL industry but differ in technical depth and focus areas.

What types of projects can I expect to work on during an NFL Data Scientist internship?

As an NFL Data Scientist intern, you'll typically work on projects involving player performance analysis, game strategy optimization, and data-driven scouting. Interns often collaborate with coaching staff, analytics teams, and other departments to analyze large datasets, develop predictive models, and create visualizations that inform decision-making. Expect to use statistical programming languages like Python or R, and present your findings to both technical and non-technical stakeholders. These projects not only enhance your technical skills but also provide valuable insight into how analytics impacts team performance and strategy.
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What states have the most Internship Nfl Data Scientist jobs? States with the most job openings for Internship Nfl Data Scientist jobs include:
NFL Data Scientist

NFL Data Scientist

Swish Analytics

San Francisco, CA • On-site, Remote

$140K/yr

Full-time

Re-posted 14 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 looking for an NFL 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. This position is remote from the USA.
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:
  • Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area
  • Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for 2+ years
  • Expertise in Probability Theory, Machine Learning, Inferential Statistics, Bayesian Statistics, Markov Chain Monte Carlo methods
  • 5+ 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 $140,000
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.
Department Data Science Role NFL Team Locations San Francisco, CA - Remote Remote status Fully Remote