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Junior Computer Science Jobs in New York (NOW HIRING)

Job Summary We are seeking a motivated and detail-oriented Junior Software Engineer to join our ... Bachelor's degree in Computer Science or a related field is preferred but not required.

We are looking for a Junior Risk Manager to join our expanding discretionary team. This is a unique ... Computer Science and Physics); advanced degree preferred * From graduate level up to 3 years of ...

Junior Research Scientist

New York, NY · On-site

$150K - $230K/yr

As a junior research scientist at EliseAI, you will join a fast-moving team of world-class ... D. in Mathematics, Theoretical Physics, Computer Science, or a related field * Strong foundation in ...

Mentor junior engineers and scientists. Position Requirements: Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Engineering, or a related field and two years of ...

Showing results 21-40

Junior Computer Science information

See New York salary details

$26.3K

$97.3K

$150.4K

How much do junior computer science jobs pay per year?

As of Aug 8, 2026, the average yearly pay for junior computer science in New York is $97,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,300.00 and $95,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior computer scientist?

To thrive as a Junior Computer Scientist, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported by a bachelor’s degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development environments are commonly expected. Strong problem-solving abilities, effective communication, and a willingness to learn are essential soft skills for this role. These skills and qualities enable junior computer scientists to contribute to team projects, adapt to new technologies, and efficiently solve real-world technical problems.

What is the difference between Junior Computer Science vs Junior Software Developer?

AspectJunior Computer ScienceJunior Software Developer
Required CredentialsDegree in Computer Science or related fieldDegree or coding bootcamp certification
Work EnvironmentAcademic, research, or entry-level tech rolesSoftware development teams, tech companies
Industry UsageUniversities, research labs, tech firmsSoftware companies, startups, IT departments
Common Search/ComparisonYesYes

Junior Computer Science roles typically focus on foundational knowledge, research, or academic settings, requiring a degree in computer science. Junior Software Developer positions are more application-oriented, involving coding and software creation within development teams. While both roles are entry-level, they serve different career paths within the tech industry.

What is a junior computer scientist?

A Junior Computer Scientist is an entry-level professional who typically holds a degree in computer science or a related field. They work under the supervision of senior staff to design, develop, test, and maintain software, algorithms, or systems. Their responsibilities may include coding, debugging, conducting research, and assisting with technical documentation. This role is often a starting point for those looking to advance in the field of computer science, offering valuable hands-on experience and opportunities to learn from more experienced colleagues.

What types of projects and responsibilities can a junior computer science professional expect in their first year?

As a Junior Computer Science professional, you can expect to work on a variety of foundational tasks such as debugging code, writing unit tests, and assisting with the development of new features under the supervision of more experienced team members. You may also participate in code reviews, collaborate with cross-functional teams like design and QA, and help maintain documentation. These hands-on experiences are designed to help you build technical skills, understand software development processes, and gradually take on more complex assignments as you gain confidence and expertise.
What are the most commonly searched types of Computer Science jobs in New York? The most popular types of Computer Science jobs in New York are:
What are popular job titles related to Junior Computer Science jobs in New York? For Junior Computer Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Junior Computer Science jobs in New York look for? The top searched job categories for Junior Computer Science jobs in New York are:
What cities in New York are hiring for Junior Computer Science jobs? Cities in New York with the most Junior Computer Science job openings:
Infographic showing various Junior Computer Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 83% Physical, 1% Hybrid, and 16% Remote job distribution, with an average salary of $97,342 per year, or $46.8 per hour.

Senior Data Science and Machine Learning Engineer

1 point system

New York, NY • Remote

Contractor

Re-posted 26 days ago


Job description

Job Summary:

  • We are seeking a Senior Data Science Engineer to design, build, and scale data-driven systems that power advanced analytics and machine learning across our organization. This role sits at the intersection of software engineering and data science; you’ll be responsible for building robust data pipelines, enabling experimentation, and deploying production-ready machine learning models.
  • As a senior team member, you will mentor junior engineers and data scientists, influence architectural decisions, and help shape the long-term AI and data strategy.

Key Responsibilities:

  • Develop, deploy, and maintain machine learning models in production environments.
  • Collaborate with data scientists, analysts, and product managers to define and deliver data-driven features.
  • Ensure high-quality data through monitoring, validation, and robust testing frameworks.
  • Architect and maintain data platforms and tools for experimentation, model serving, and feature engineering.
  • Explore and integrate Large Language Models (LLMs) and other generative AI approaches into business applications and data workflows.
  • Contribute to code reviews, technical design discussions, and best practices for the team.
  • Mentor and guide junior engineers/data scientists, fostering technical excellence and career growth.
  • Stay current with emerging technologies in Data Science, Machine Learning, LLM Ops, ML Ops.

Education Requirement:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Master’s degree or PhD is a strong plus.

Experience:

  • 5+ years of experience in data engineering, machine learning engineering, or related roles.
  • Strong proficiency in Python (Pandas, NumPy, PySpark, or similar).
  • Solid understanding of ML model development, training, and deployment pipelines.
  • Experience with ML model monitoring and observability frameworks.
  • Experience with deep learning frameworks(TensorFlow, PyTorch).
  • Familiarity with CI/CD, version control (Git),and modern ML Ops practices.