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Data Science Internship Cpt Jobs in Virginia (NOW HIRING)

Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered) * Proficiency in programming languages such as Python or R * Experience ...

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Data Science Internship Cpt information

What is the difference between Data Science Internship Cpt vs Data Analyst Internship Cpt?

AspectData Science Internship CptData Analyst Internship Cpt
Required CredentialsTypically requires coursework in statistics, programming, and data analysis; sometimes a related degreeSimilar requirements, often focusing on data analysis and visualization skills
Work EnvironmentInvolves data modeling, machine learning, and predictive analytics in tech or finance sectorsFocuses on data cleaning, reporting, and visualization in various industries
Employer & Industry UsageUsed by tech companies, finance, and consulting firms for data-driven projectsCommon across multiple industries including marketing, healthcare, and retail

While both internships involve working with data, Data Science Internship Cpt emphasizes machine learning and predictive modeling, whereas Data Analyst Internship Cpt focuses on data visualization and reporting. Both roles require similar foundational skills but differ in their technical depth and application areas.

What types of projects and collaboration opportunities can I expect during a Data Science Internship CPT?

During a Data Science Internship CPT, you can expect to work on real-world data projects such as data cleaning, exploratory analysis, model development, and visualization tasks. Interns often collaborate closely with data scientists, engineers, and product managers, gaining exposure to cross-functional teamwork. You may also participate in meetings, present findings, and contribute to solving business challenges using data-driven approaches. This environment fosters both technical skill development and professional growth, providing valuable experience for future roles in the field.

What is a Data Science Internship CPT?

A Data Science Internship CPT (Curricular Practical Training) is a temporary work authorization for F-1 international students in the U.S., allowing them to gain practical experience in data science while enrolled in a degree program. The internship must be directly related to the student's major and typically offered through a cooperative agreement between the employer and the educational institution. CPT is usually part-time during the academic year and can be full-time during breaks, but using full-time CPT for 12 months or more may affect eligibility for Optional Practical Training (OPT).

What are the key skills and qualifications needed to thrive as a Data Science Internship CPT, and why are they important?

To thrive as a Data Science Internship CPT, you typically need foundational knowledge in statistics, programming (usually Python or R), and data analysis, often supported by ongoing studies in computer science or a related field. Familiarity with tools such as Jupyter Notebook, SQL databases, and machine learning libraries like scikit-learn or TensorFlow is highly valuable. Strong problem-solving skills, curiosity, and effective communication help interns translate data insights into actionable recommendations. These abilities are crucial for contributing meaningfully to data-driven projects and learning effectively during the internship.
What cities in Virginia are hiring for Data Science Internship Cpt jobs? Cities in Virginia with the most Data Science Internship Cpt job openings:

Senior Principal Data Scientist (Marketing Channel Optimization)

Navy Federal Credit Union

Vienna, VA • On-site

Other

Posted 9 days ago


Navy Federal Credit Union rating

8.1

Company rating: 8.1 out of 10

Based on 274 frontline employees who took The Breakroom Quiz

59th of 150 rated financial services


Job description

Overview

Provide analytical insight from organizational data to support mission critical decision making. Understand business needs and identify opportunities for new products and services to meet business objectives. Design and develop sophisticated predictive models and advanced algorithms to drive decisions and optimize business results. Devise testing of business data to draw conclusion for statistical significance at various confidence levels. Regarded as an industry expert in the data science field. Conduct highly complex work, unsupervised and with extensive latitude for independent judgment. Progression to this level is typically restricted on the basis of business requirement.

Responsibilities

  • Direct existing principles and guide development of new policies
  • Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets
  • Identify opportunities, pose business questions, and make valuable discoveries
  • Generate and test hypotheses, analyze and interpret the results
  • Develop and code the most complex software programs, algorithms, and automated processes
  • Translate complex business and technical needs into technological objectives
  • Utilize effective written and verbal communication to document and present findings to stakeholders in support of critical decision making
  • Recognized as subject matter expert and advanced individual contributor professional
  • Maintain and foster strong working relationships with team members, subject matter experts, and senior leaders
  • Research and apply new best practices and ethical AI
  • Advise senior leaders on analytical insights and solutions to solve business problems
  • May lead complex technical projects and initiatives with significant impact
  • Lead the development and enhancement practices, procedures, and instructions
  • Serve as lead technical resource for other team members
  • Mentor and assist leading lower levels

Qualifications

  • 10+ years of relevant experience
  • In-depth professional knowledge, acumen, and concepts
  • Requires specialized skill set
  • Solid understanding of business dynamics and strategy
  • Statistics, machine learning, programming, data modeling, simulation, trend analysis, visualization, and advanced mathematics to recognize patterns
  • SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS
  • Project Management skills
  • Model lifecycle execution
  • Technical writing
  • Data storytelling and technical presentation skills
  • Research Skills
  • Interpersonal Skills
  • Mentoring
  • Model Development
  • Communication
  • Critical Thinking
  • Thought Leadership
  • Initiative with sound judgement
  • Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
  • Independent Judgment (Extensive)
  • Problem Solving (Recognizes potential issues and risks for long term implications)
  • Masters Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

Desired Qualifications

  • PhD in Data Science, Statistics, Mathematics, Computer Science, or Engineering

Additional Information

Hours:

  • Monday - Friday, 8:00AM - 4:30PM

Locations:

  • 820 Follin Ln. Vienna, Virginia 22180

About Us

Navy Federal provides much more than a job. We provide a meaningful career experience, including a culture that is energized, engaged and committed; and fierce appreciation for our teams, who are rewarded with highly competitive pay and generous benefits and perks. Our approach to careers is simple yet powerful: Make our mission your passion. * FORTUNE 100 Best Companies to Work For 2026 * Yello and WayUp Top 100 Internship Programs 2025 * Computerworld Best Places to Work in IT 2026 * Most Loved Workplace - America's Top Most Loved Workplaces 2025 * 2025 PEOPLE Companies That Care * Newsweek Most Trustworthy Companies in America 2026 * Military Times 2025 Best for Vets Employers * Forbes 2026 America's Best Large Employers * Forbes 2025 America's Best Employers for New Grads * Forbes 2025 America's Best Employers for Tech Workers * 2025 RippleMatch Campus Forward Award Winner for Overall Excellence * Military.com Top Military Spouse Employers 2025 * 2026 Handshake Early Talent Award * Newsweek America's Greatest Workplaces for Culture, Belonging and Community 2026 From Fortune Magazine. 2026 Fortune Media IP Limited. All rights reserved. Used under license. Fortune and Fortune 100 Best Companies to Work For are registered trademarks of Fortune Media IP Limited and are used under license. Fortune Magazine, Fortune Media (USA) Corporation, and its affiliates are not affiliated with, and do not endorse products or services of, Navy Federal Credit Union. Equal Employment Opportunity: All qualified applicants will receive consideration for employment without regard to age, race, sex, color, religion, national origin, disability, veteran status, pregnancy, sexual orientation, genetic information, gender identity or any other basis protected by applicable law. Accommodations: If you need accommodation or assistance for a qualifying condition to complete the online application (or during any stage of the hiring process), you can contact Navy Federal's Medical Accommodations team at medicalaccommodations@navyfederal.org or by calling 1-888-503-6013. This team cannot provide any information on job postings or application status. Disclaimers: Navy Federal reserves the right to fill this role at a higher/lower grade level based on business need. An assessment may be required to compete for this position. Job postings are subject to close early or extend out longer than the anticipated closing date at the hiring team's discretion based on qualified applicant volume. Navy Federal Credit Union assesses market data to establish salary ranges that enable us to remain competitive. You are paid within the salary range, based on your experience, location and market position. For additional details regarding compensation and benefits, review the Benefits page of the Navy Federal Career Site. Protect Yourself from Job Scams: Navy Federal Credit Union jobs are posted on our career site, jobs.navyfederal.org and reputable job boards (e.g., LinkedIn, Indeed). We do not post jobs on social media marketplaces, messaging apps or unverified websites. We will never ask candidates for payment, bank details or personal financial information during the hiring process. Bank Secrecy Act: Remains cognizant of and adheres to Navy Federal policies and procedures, and regulations pertaining to the Bank Secrecy Act.

What Navy Federal Credit Union employees say

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Navy Federal Credit Union logo

About Navy Federal Credit Union

Sourced by ZipRecruiter

Navy Federal Credit Union, based in Vienna, Virginia, United States, is a significant player in the financial services industry. Their official website is navyfederal.org. With its roots dating back to 1933, it was initially established to provide credit to Navy members. Over the years, Navy Federal has magnified its scope, evolving into a full-service credit union serving all branches of the military, the Department of Defense, veterans, and their families. The company’s core values include integrity, service, education, and leadership. Navy Federal aims to be the most preferred and trusted financial institution serving the military and their families.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Vienna, VA, US

Year founded

1933