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Athena LLC

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

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Internship International Data Science information

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

As of Sep 10, 2026, the average hourly pay for internship international 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 International Data Science vs Data Analyst?

AspectInternship International Data ScienceData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data analysis, statistics, or related field; some certifications beneficial
Work EnvironmentInternship setting, often in multinational companies or research labsFull-time or part-time roles in various industries like finance, marketing, healthcare
Employer & Industry UsageUsed by companies to train future data scientists; common in tech, finance, consultingWidely used across industries for data-driven decision making

Internship International Data Science focuses on training and gaining practical experience in data science, often for students or early-career individuals. Data Analysts typically perform ongoing data interpretation and reporting roles. While both roles involve working with data, internships are entry-level training positions, whereas data analyst roles are more permanent and require specific skills and experience.

What cities are hiring for Internship International Data Science jobs?

Cities with the most Internship International Data Science job openings:

What are the most commonly searched types of International Data Science jobs?

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Internship International Data Science jobs near you
Infographic showing various Internship International Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Manager, International Data and Strategy

New York, NY • On-site

The National Football League
Performing Arts, Spectator Sports and Event Promotion • 1 - 5K employees
Learn more about The National Football Leagueexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking a highly motivated Manager, International Data & Strategy, to lead and scale the NFL's international managed model as part of a transformative enterprise initiative. In this role, you will partner closely with League and Club stakeholders to deliver high-quality, scalable data solutions and program operations that enable informed decision-making and drive business outcomes across global markets.

The ideal candidate brings 5+ years of experience with a demonstrated track record of delivering centralized, enterprise-scale initiatives. You will work hands-on across data strategy, technology, and program execution-owning delivery, driving cross-functional alignment, translating business needs into actionable requirements, and ensuring scalable, high-quality outputs.

This role is well-suited for a strategic yet hands-on leader who thrives in a fast-paced, evolving environment, excels at stakeholder management, and is passionate about leveraging data to unlock value and build scalable enterprise capabilities.

Responsibilities

  • Leadership: Drive cross-functional alignment and champion adoption of the International managed model through clear communication, best practices, and continuous improvement.
  • Program Management: Oversee day-to-day program operations for the international managed model, tracking progress across data onboarding, curation, fulfillment, reporting and insights.
  • Customer Partnership: Partner closely with clubs to drive adoption of the international managed model by capturing requirements and translating them into prioritized program initiatives.
  • Data Product Architecture: Translate business needs into scalable data and platform requirements to support segmentation, data access, and performance measurement.
  • Operational Excellence: Ensure efficient and consistent execution by establishing standardized processes and continuously optimizing workflows.

Required Qualifications

  • Bachelor's degree in Computer Science, Mathematics, Engineering, or related field; advanced degree preferred.
  • 5+ years in data strategy, product ownership, or technical leadership roles.
  • Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks.
  • Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred.
  • Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage.
  • Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus.
  • Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority.
  • Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance.

Other Key Attributes / Characteristics

  • Master's degree or higher in statistics, data science, computer science, or other data related fields

Terms / Expected Hours of Work

  • Limited Travel

Salary / Pay Range

This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range.

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