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Computer Science Data Science Jobs in Smithtown, NY

MM International

Data Scientist

New York, NY · Remote

PhD, MS, or BA/BS in statistics, biostatistics, computer science, data science, life science, or a related field. * Relevant clinical development experience (programming, RBM/RBQM, Data Management ...

Gartner

Director, Data Science

Stamford, CT · Remote

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Gartner, Inc.

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Gartner

Director, Data Science

Stamford, CT · On-site

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Master's Degree or PhD in a quantitative field (math, computer science, engineering, etc.) required.

Bread Financial

Lead Data Scientist

New York, NY · On-site +1

$144K - $250K/yr

Master's Degree or PhD in Statistics, Mathematics, Computer Science, Data Science, Engineering, Economics, or other quantitative fields * Advanced machine learning modeling and/or technical expertise ...

Compunnel

PHD AI/ML Data Scientist

New York, NY · On-site

Required Qualifications • PhD in Computer Science, Data Science, Statistics, Mathematics, Artificial Intelligence, Machine Learning, or a related quantitative discipline. • 8-12 years of hands-on ...

CookUnity

Director, Data Science/ML

New York, NY

PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field ... Established product data science roadmap aligned with business priorities; shipped at least one ...

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All JobsComputer Science Data Science JobsComputer Science Data Science Jobs in Smithtown, NY

Computer Science Data Science information

See Smithtown, NY salary details

$38K

$124.4K

$199.2K

How much do computer science data science jobs pay per year?

As of Aug 10, 2026, the average yearly pay for computer science data science in Smithtown, NY is $124,411.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $137,900.00 per year, depending on experience, location, and employer.

Is a computer science degree good for data science?

A computer science degree is highly valuable for data science roles, as it provides a strong foundation in programming, algorithms, and data structures essential for analyzing large datasets. Many data scientists also learn tools like Python, R, and SQL, and may pursue certifications or specialized training to enhance their skills. Having a degree can improve job prospects and understanding of complex technical concepts in data science.

Can a computer science data scientist work as a data scientist?

A computer science data scientist can work as a data scientist because both roles involve analyzing data, developing models, and using programming languages like Python or R. The main difference is that a data scientist often focuses more on data analysis and insights, while a computer science data scientist may have a stronger background in algorithms and software development. Skills in statistical methods, machine learning, and data visualization are essential for both positions.
What cities near Smithtown, NY are hiring for Computer Science Data Science jobs? Cities near Smithtown, NY with the most Computer Science Data Science job openings:
Computer Science Data Science jobs near you
Infographic showing various Computer Science Data Science job openings in Smithtown, NY as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,411 per year, or $59.8 per hour.

Senior Data Science and Machine Learning Engineer

1 point system

New York, NY • Remote

Contractor

Re-posted 29 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.