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Internship Computer Science Opt Jobs in Raleigh, NC

Lead Data Scientist

Raleigh, NC · On-site

$104K - $174K/yr

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

Max Salary Not Mentioned Employment Type Direct Jobs (Full Time) Domain Any Description OPT and EAD ... Bachelor degree in Computer Science, Information Systems, Mathematics, Engineering or related field ...

PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field ... Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc. * Experience ...

Required : • A degree in Computer Science, Information Systems, Engineering, or a related field ... internships, freelance work, or personal projects count). • Proficient in Python and SQL: with ...

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Internship Computer Science Opt information

What are internship opportunities for Computer Science OPT students?

Internship opportunities for Computer Science OPT (Optional Practical Training) students are temporary work experiences in the tech industry that allow F-1 visa holders to apply their academic knowledge in real-world settings. These internships can be with tech companies, startups, research labs, or IT departments, and often focus on software development, data analysis, cybersecurity, or other computer science fields. OPT internships help students gain valuable work experience, build professional networks, and potentially secure full-time employment after graduation. Students must ensure that the internship is directly related to their major and complies with OPT regulations set by the U.S. Citizenship and Immigration Services (USCIS).

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

To thrive in a Computer Science Internship, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by ongoing or completed coursework in computer science. Familiarity with version control systems like Git, basic software development tools, and sometimes introductory knowledge of databases or web frameworks is often expected. Strong problem-solving abilities, effective communication, and eagerness to learn help interns stand out and integrate well within teams. These skills and qualities are important because they enable interns to contribute meaningfully to projects, adapt quickly to new challenges, and grow professionally in a real-world tech environment.

What types of projects can I expect to work on during a Computer Science internship, and how much guidance will I receive?

As a Computer Science intern, you can expect to work on a variety of projects ranging from software development and debugging to data analysis and testing. These projects often support ongoing team initiatives or introduce new features under the supervision of experienced engineers. Interns typically receive mentorship from a dedicated supervisor and collaborate with team members during code reviews, daily stand-ups, and brainstorming sessions. While you will be encouraged to take initiative and solve problems independently, guidance and feedback are provided regularly to help you grow and succeed in your role.

What is the difference between Internship Computer Science Opt and Software Developer Intern?

AspectInternship Computer Science OptSoftware Developer Intern
Required CredentialsEnrolled in or recent graduate of CS program, OPT authorizationEnrolled in or recent graduate of CS program, internship eligibility
Work EnvironmentTech companies, startups, research labsTech companies, startups, software firms
Employer & Industry UsageUsed for international students on OPT to gain work experienceCommon internship role for students seeking software development experience

Internship Computer Science Opt and Software Developer Intern roles share similar credentials and work environments, often found in tech companies. The main difference is that the Internship Computer Science Opt specifically caters to international students on OPT, while Software Developer Intern is a broader role for all students. Both provide valuable industry experience, but the OPT internship is tied to visa status requirements.

What are the most commonly searched types of Computer Science Opt jobs in Raleigh, NC? The most popular types of Computer Science Opt jobs in Raleigh, NC are:
What job categories do people searching Internship Computer Science Opt jobs in Raleigh, NC look for? The top searched job categories for Internship Computer Science Opt jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Internship Computer Science Opt jobs? Cities near Raleigh, NC with the most Internship Computer Science Opt job openings:
Lead Data Scientist

Lead Data Scientist

RELX Group plc

Raleigh, NC • On-site

$104K - $174K/yr

Full-time

Re-posted 16 days ago


Job description

About Us:
LexisNexis, a part of RELX, is a leading global provider of legal, regulatory, and business information. We help customers increase productivity and improve decision-making and outcomes. Our 10,500 experts and innovative tools help us shape a better world for our customers and communities.
About the Role:
Are you looking to develop your Data Scientist career?
Do you enjoy coaching others to achieve high standards?
We are seeking a Lead Data Scientist toleads a team of junior members to support their development and work product. You will define the scope of a project and execute that project as a team. As a Lead you will support the development and training of junior members and develop best practices as team leaders.
For this role, we are seeking candidates who are highly experienced inleading the development and deployment of advanced AI and machine learning models. The ideal candidate will have a deep understanding of machine learning algorithms, experience working with large datasets, and a track record of delivering high-quality results. You will be working closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions.
Responsibilities:
  • Leading the development of advanced AI and machine learning models to solve complex business problems
  • Working closely with other data scientists and engineers to design, develop, and deploy AI solutions
  • Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs
  • Analyzing large datasets to identify patterns and trends that can inform AI development
  • Communicating findings and insights to stakeholders in a clear and concise manner
  • Staying current with the latest AI and machine learning trends and technologies
  • Mentoring junior data scientists and provide guidance on AI and machine learning best practices
  • Driving best practices across our data science functions
  • Setting strategy and team direction, with a clear vision for Data Science
  • Working with product leaders to apply data science solutions.
  • Evaluating and creating new frameworks and defining methodologies and governance
  • Leading small- to medium-sized teams
  • Setting a high bar for model development

Requirements:
  • Have substantial experience in a senior data scientist role
  • Have experience in leading complex projects and customer relationships
  • Have significant experience in leading technical teams
  • Have experience in mentoring or training others, acting as a subject matter expert to guide colleagues
  • Be a natural problem solver, able to take a lead in collaborating to resolve issues
  • Have excellent communication skills and the ability to convey information clearly to senior stakeholders

Highly Desired Skills and Experience:
  • PhD or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • Experience working directly with large language models and Transformer based architectures including BERT, RoBERTa, T5 etc.
  • Working knowledge of applying recent LLMs including ChatGPT, GPT 3.5, OPT, BLOOM, etc.
  • Experience with reinforcement learning, prompt engineering, hallucination mitigation
  • Working understanding of the business risks associated with applying LLM in a business
  • Experience working with large datasets and distributed computing systems (e.g., Hadoop, Spark)
  • Strong coding skills in Python or another programming language
  • Excellent communicator, with the ability to translate complex technical concepts to non-technical stakeholders
  • Strong problem-solving skills and the ability to think outside the box
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates.This job is eligible for an annual incentive bonus.
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