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Internship Nfl Data Scientist Jobs in Rochester, NY

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Internship Nfl Data Scientist information

See Rochester, NY salary details

$45.4K

$162.8K

$240.3K

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

As of Aug 27, 2026, the average yearly pay for internship nfl data scientist in Rochester, NY is $162,818.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,700.00 and $167,700.00 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 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.

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.

How hard is it to get an internship NFL data scientist?

Securing an NFL data scientist internship is competitive and typically requires a strong background in data analysis, programming skills in languages like Python or R, and knowledge of sports analytics. Candidates often need relevant coursework, internships, or projects demonstrating their ability to handle large datasets and apply statistical models within a sports context.

How much do NFL data scientists make?

NFL data scientists typically earn between $70,000 and $120,000 annually, depending on experience, education, and the level of responsibility. Salaries can vary based on the organization, location, and whether the role involves advanced analytics, machine learning, or sports-specific data tools.

How to get an internship in the NFL?

To secure an internship as an NFL Data Scientist, candidates should have a strong background in data analysis, programming (such as Python or R), and knowledge of sports analytics. Relevant experience through coursework, personal projects, or previous internships, along with networking within the sports industry, can improve chances. Applying through official NFL internship programs or team-specific opportunities and demonstrating a passion for football and data are also important.

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What cities near Rochester, NY are hiring for Internship Nfl Data Scientist jobs?

Cities near Rochester, NY with the most Internship Nfl Data Scientist job openings:

Internship Nfl Data Scientist jobs near you
Infographic showing various Internship Nfl Data Scientist job openings in Rochester, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $162,818 per year, or $78.3 per hour.

Data Platform Engineer

Rochester, NY • On-site

Avani Technology Solutions, Inc.
IT Services • 201 - 500 employees
Learn more about Avani Technology Solutions, Inc.external

$113K - $135K/yr

Full-time

Re-posted 2 days ago

Job description

Position: Data Platform Engineer
Location: Rochester, NY
Duration: 12+ Months
Hadoop and Informatica experience are a MUST
Description:
The Data Platform Engineer engages in the design, development and maintenance of the big data platform. This platform hosts structured and non-structured data sets that support various business operations and enable data-driven decisions. The role involves administering various data-hub ecosystem open source software tools along with other vendor supported tools like HortonWorks Hadoop, CISCO DV, IBM COGNOS tools. The DPE will work closely with Data Scientists, infrastructure Administrators and Data Platform Architects to ensure the platform meets business demands.
Essential Resource Responsibilities / Accountabilities: Level I- Installs and /or upgrades, configures, administers and troubleshoots the data hub software environment in order to achieve a reliable, highly available, well performing system- Provides direct technical support to data warehouse user community, and triages support to appropriate personnel when technical support is not sufficient.- Develops standards, policies and procedures for the form, structure and attributes of the data warehouse tools and systems - Develops data/information quality metrics- Develops processes to monitor cluster performance and resource usage- Works with Server Engineers to install new nodes, resolve node failures, and apply patches and upgrades- Maintains processes that feed data from various systems across the enterprise, ensuring data quality and process efficiency- Follows and helps streamline procedures for provisioning access to the BI system and establishing security Minimum Resource Qualifications:- Bachelor's degree in Information Technology, Computer Science, Software Engineering, or closely related field (or four additional years related work experience in lieu of bachelors)- Related work experience (i.e. Co-ops/Internships) preferred- Ability to take initiative and have a strong vision for driving large scale distributed data platforms- Experience with ecosystem components such as Hadoop, Cisco DV, Cognos, etc- Familiarity with Linux system administration, Linux scripting and networking skills- Proficiency in a programming language such as Python or Java is a plus- Experience with relational and NoSQL databases, including modeling and writing complex queries is a plus- MUST have EXCELLENT communication and
analytical skills Level I - Ability to perform routine tool maintenance working with the vendors and others on the team- Ability to identify data warehouse application and data issues- Monitor system uptime and performance- Escalate appropriately to management and/or more senior Tool Administrators- Minimum of 3 years' experience in tool administration- Demonstrated experience with Data Warehousing- Proactively identify and address risks on system before they become systems issues- Research and resolve data warehouse application and data issues
Physical Requirements- Ability to travel across regions Physical Requirements: In support of the Americans with Disabilities Act, this resource requirements document lists only those responsibilities and qualifications deemed essential to the position Equal Opportunity
Employer: As such, requires all suppliers of temporary staffing resources to affirm the rights of every person to participate in all aspects of employment without regard to race, color, sex/gender, age, disability, religion, creed, citizenship status, national origin, veteran status, military status, marital status, familial status, domestic violence victim status, sexual orientation, gender identity, predisposing genetic characteristic, genetic information, or any other status protected under the law

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