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Internship Computer Science Cpt information

What is an Internship Computer Science CPT?

An Internship Computer Science CPT refers to a Curricular Practical Training (CPT) opportunity for computer science students who are on F-1 visas in the United States. CPT allows eligible international students to gain hands-on work experience in their field of study while still enrolled in their academic program. The work must be directly related to their major, approved by their school, and can be part-time or full-time depending on the institution's policies. Participation in CPT helps students apply classroom knowledge to real-world problems and build professional skills.

What types of projects or tasks can I expect to work on during an Internship Computer Science CPT?

During a Computer Science CPT internship, you can expect to work on a variety of hands-on projects such as software development, debugging, testing, and collaborating on code reviews with your team. Interns often contribute to ongoing projects, assist with designing algorithms, and may participate in meetings to discuss technical solutions and project progress. The work environment is typically collaborative, with interns receiving mentorship from experienced engineers and opportunities to learn new technologies. This experience helps build practical skills that are directly applicable to future full-time roles.

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

To thrive as an Internship Computer Science CPT, you typically need foundational programming knowledge, problem-solving abilities, and enrollment in a relevant academic program, with CPT (Curricular Practical Training) authorization from your university. Familiarity with coding languages like Python or Java, version control systems such as Git, and exposure to development environments are commonly expected. Strong communication, adaptability, and teamwork skills help interns effectively learn and contribute within professional settings. These skills and qualifications are crucial to ensuring successful integration into real-world projects, compliance with visa requirements, and meaningful professional growth.

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Internship Computer Science Cpt jobs near you

Lead, Data Scientist - Decision Sciences Identity Team

Westminster, CO

Epsilon
See more jobs at Epsilonexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago

Job description

Company Description
Overview
Epsilon's Decision Sciences Identity (DSI) team seeks a PhD-level Lead Research Scientist to advance the Identity Resolution Platform that powers real-time digital marketing at internet scale. You will contribute to research and development initiatives that expand identity capabilities across Epsilon's marketing businesses, transforming novel ideas into production technologies with measurable business impact.
This role sits at the core of Epsilon's identity platform, tackling complex, ambiguous problems using large-scale data. Working closely with engineering and product teams, you will apply analytical rigor, creativity, and strong computer science fundamentals to develop scalable identity solutions that improve marketing performance for leading brands.
Responsibilities
  • Individually contribute to data science and machine learning R&D projects
  • Use data science, machine learning, and/or computer science skills to conduct research and contribute to solutions to technology and business problems
  • Contribute to projects from early-stage research through development
  • Implement and optimize innovative algorithms in distributed environments
  • Develop an understanding of Epsilon personalization platform and proprietary datasets
  • Participate fully in our collaborative approach to research and applications projects

Qualifications
Qualifications
  • Ph.D. in Computer Science, Electrical Engineering, Statistics, Mathematics, Economics, Physics, Chemistry, Operations Research, or related quantitative field
  • Research experience and coursework in Machine Learning
  • Strong understanding of statistical, analytical, and predictive modeling techniques
  • Strong Python programming skills and experience with data structures, algorithms, and production-quality code development
  • 2+ years of relevant programming experience through academic research, internships, or industry work
  • Ability to code independently without AI as well as effectively leverage AI-assisted development tools
  • Proven ability to design, execute, and deliver research projects
  • Excellent communication and interpersonal skills, including ability to translate complex technical concepts for non-technical audiences
  • Self-motivated, highly organized, and collaborative, with the ability to manage multiple priorities in highly collaborative, team-oriented environments

Additional, But Not Required Skills
  • Experience with graphs/networks and unsupervised clustering algorithms (community detection on graphs)
  • Experience working with large, complex datasets in research or production environments
  • Experience with distributed computing and large-scale data processing (Spark, Hadoop, Databricks, cloud databases)
  • Experience with cloud platforms and data ecosystems (AWS, S3, Databricks)
  • Proficiency in SQL, Scala, Spark libraries, and advanced database querying
  • Familiarity with LLMs, Generative AI, and agentic frameworks
  • Experience in one or more advanced domains: Community Detection on Graphs, Unsupervised Learning, NLP, Information Retrieval, Mathematical Optimization, Control Theory, Time-Series Analysis, or Causal Inference
  • Ability to partner with business and technical collaborators to deploy algorithms into production platforms
  • Experience translating research innovations into scalable, customer-facing products
  • Additional research experience in computational fields such as data science, AI/ML, statistics, computer science, or graph algorithms

Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.
Additional Information
When you join Epsilon, we'll create something EPIC together. We're a global leader in data and identity, with deep expertise in digital media, clean rooms, customer data platforms, loyalty and marketing services. Positioned at the center of Publicis Groupe, Epsilon helps brands deliver personalized experiences at scale and build lasting customer relationships by unlocking the full potential of data and identity. Epsilon operates in 30+ countries across EMEA, the Americas and APAC, with more than 8,000 employees.
Check out a few of these resources to learn more about what makes Epsilon so EPIC:
Our Culture: https://www.epsilon.com/us/about-us/our-culture-epsilon
Life at Epsilon: https://www.epsilon.com/us/about-us/epic-blog
Epsilon has five values that define our culture and guide us as we create value for our clients, our people and consumers. We seek candidates who align with our company values, demonstrate them and make them meaningful in their day-to-day work:
  • Act with integrity. We are transparent and have the courage to do the right thing.
  • Work together to win together. We believe collaboration is the catalyst that unlocks our full potential.
  • Innovate with purpose. We shape the market with big ideas that drive big outcomes.
  • Respect all voices. We embrace differences and foster a culture of connection and belonging.
  • Empower with accountability. We trust each other to own and deliver on common goals.

Because You Matter
As an Epsilon employee, you deserve perks and benefits that put you, your family and your finances first. Our benefits encompass a wide range of offerings, including but not limited to:
  • Time to recharge: Flexible time off (FTO), 14 paid holidays, paid sick time
  • Family well-being: Parental/new child leave, childcare & elder care assistance, adoption assistance
  • Extra perks: Comprehensive health coverage, 401(k), tuition assistance, commuter benefits, professional development, employee recognition, charitable donation matching, health coaching and counseling

Epsilon benefits are subject to eligibility requirements and other terms.
Epsilon is an Equal Opportunity Employer. Epsilon's policy is not to discriminate against any applicant or employee based on actual or perceived race, age, sex or gender (including pregnancy), marital status, national origin, ancestry, citizenship status, mental or physical disability, religion, creed, color, sexual orientation, gender identity or expression (including transgender status), veteran status, genetic information or any other characteristic protected by applicable federal, state or local law. Epsilon also prohibits harassment of applicants and employees based on any of these protected categories. Epsilon will provide accommodations to applicants who need accommodations to complete the application process. Please reach out to LeaveofAbsence@epsilon.com to request an accommodation.
For San Francisco Bay and Los Angeles Areas: Epsilon will consider qualified applicants with criminal histories for employment in a manner consistent with the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance and San Francisco Police Code Sections 4901-4919, commonly referred to as the San Francisco Fair Chance Ordinance. Applicants with criminal histories are welcome to apply.
#LI-IP1
 
Compensation Range: USD $87,100.00 - USD $173,700.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/7/2026.

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