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Entry Level Computer Science Opt Jobs in New York

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

... OPT, CPT or any other employment-based visa) Preferred : • Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative ...

Be Seen First

Position Summary We are seeking a motivated and dependable Entry-Level IT Support Technician to ... Associate degree or coursework in Information Technology, Computer Science, or a related field.

Python Developer

New York, NY

$55 - $75.75/hr

Python Developer We are looking for an Entry level/experienced Python developer with a background ... Qualifications BS or MS in Computer Science or related field. Additional Information

Python Developer

New York, NY

$55 - $75.75/hr

Python Developer We are looking for an Entry level/experienced Python developer with a background ... Qualifications BS or MS in Computer Science or related field. Additional Information

Research Scientist, AI

New York, NY · Hybrid

$214K - $375K/yr

PhD in computer science or a related field, or equivalent experience * Significant experience ... You can opt out at any time! #LI-Hybrid

Senior Software Engineer

New York, NY

$134K - $176K/yr

... Computer Science or related software engineering. Required Citizenship / Work Permit / Visa Status Any, no OPT  Must-Haves Java + Python (+Scala will be great) CI/CD and Jenkins

Showing results 41-60

Entry Level Computer Science Opt information

What is an entry level computer science OPT?

Entry level computer science OPT jobs are positions suitable for recent graduates with a computer science degree who are working in the United States under the Optional Practical Training (OPT) program. These roles typically include software developer, QA tester, data analyst, and IT support positions, and are designed to provide practical experience in the field. OPT allows international students to work in their area of study for up to 12 months after graduation, or up to 36 months if they qualify for the STEM extension. Entry level positions usually require basic coding skills, problem-solving abilities, and familiarity with common programming languages. These jobs often serve as a stepping stone to more advanced roles in the tech industry.

What are the key skills and qualifications needed to thrive as an entry level computer science OPT professional?

To thrive as an Entry Level Computer Science professional, you generally need a solid understanding of programming fundamentals, problem-solving skills, and a bachelor's degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, and experience using version control systems such as Git are typically expected. Strong communication, teamwork, and adaptability help you collaborate effectively and learn quickly in dynamic environments. These skills and qualities are crucial for developing reliable software, integrating into technical teams, and advancing in the fast-evolving tech industry.

What are some typical projects or tasks an entry level computer science OPT professional can expect to work on during their first year?

As an Entry Level Computer Science professional, you can expect to be involved in a variety of tasks such as debugging code, writing simple programs or modules, assisting with software testing, and updating documentation. You'll likely work under the guidance of more experienced developers and collaborate with team members to support larger projects. This role provides a strong foundation in real-world software development practices and offers valuable exposure to agile workflows, code reviews, and version control systems. Over time, you'll have opportunities to take on more complex assignments and contribute ideas as you gain experience.

What is the difference between Entry Level Computer Science Opt and Entry Level Software Developer?

AspectEntry Level Computer Science OptEntry Level Software Developer
Required CredentialsComputer Science degree, OPT authorizationComputer Science or related degree, internship experience
Work EnvironmentTech companies, startups, research labsSoftware firms, tech departments, startups
Employer & Industry UsageEmployers hiring international students on OPTEmployers hiring entry-level programmers/developers
Common Search & ComparisonYesYes

Entry Level Computer Science Opt roles typically involve temporary employment for international students on OPT, focusing on gaining work experience in tech environments. Entry Level Software Developer positions are more permanent roles for recent graduates or those starting their careers in software development. While both roles require a computer science background, the OPT role is often tied to visa status, whereas the Software Developer role is a standard employment position.

What are the most commonly searched types of Computer Science Opt jobs in New York?

The most popular types of Computer Science Opt jobs in New York are:

What are popular job titles related to Entry Level Computer Science Opt jobs in New York?

For Entry Level Computer Science Opt jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Entry Level Computer Science Opt jobs?

Cities in New York with the most Entry Level Computer Science Opt job openings:

Infographic showing various Entry Level Computer Science Opt job openings in New York as of August 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 100% In-person job distribution.

Data Scientist- Associate

KPMG US

Montvale, NJ • On-site

$61K - $62K/yr

Full-time

Posted 21 days ago


Job description

Job Summary:
KPMG is a renowned company providing audit, tax, and advisory services across important industries. They are currently seeking a Data Scientist to join their Audit Technology Alliance organization, focusing on developing generative AI solutions and collaborating with teams to enhance technology applications.
Responsibilities:
• Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality into prompt engineering and optimization for business use cases
• Support senior team members in the implementation of RAG pipelines and context engineering systems by building and testing specific modules
• Collaborate with AI engineers and other data scientists to integrate model outputs into the broader microservice architecture
• Focus on learning and applying our technology stack, including LangChain/LangGraph, Azure AI Search, and our AKS-based infrastructure
• Drive product advancement by diligently executing experiments, documenting results, and contributing to our culture of continuous improvement
• Participate actively in agile ceremonies and contribute to the team's collective knowledge of generative AI, audit methodologies, and best practices
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering
• Minimum of a Bachelor's degree is required
• Foundational knowledge of machine learning concepts and Python for data analysis; familiarity with LLMs and frameworks like LangChain is preferred
• Exposure to cloud platforms (preferably Azure) and data platforms like Databricks or Microsoft Fabric
• Familiarity with the principles of the software development lifecycle (SDLC) and version control tools like ADO and Github
• Strong analytical and problem-solving skills, with an eagerness to learn and a collaborative, team-oriented mindset (200TEC)
• Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Master's degree from an accredited college or university in Computer Science, Data Science, Statistics, or a related quantitative discipline is preferred
• Familiarity with LLMs and frameworks like LangChain is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.