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Computer Science Data Science Jobs in Williamsburg, VA

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

MS Science Teacher

New Kent, VA · On-site

$44K - $57K/yr

Required Performance Aptitudes Data Utilization: Requires the ability to review, classify, categorize, prioritize, and/or analyze data and/or information. Human Interaction: Requires the ability to ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics, Information Systems, Business, or related field. * Basic experience or coursework with Power BI, including ...

Showing results 41-60

Computer Science Data Science information

See Williamsburg, VA salary details

$36K

$117.7K

$188.4K

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

As of Aug 20, 2026, the average yearly pay for computer science data science in Williamsburg, VA is $117,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $130,400.00 per year, depending on experience, location, and employer.

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 algorithms, and using tools like Python or R. The main difference is that a data scientist often focuses more on statistical analysis and data visualization, while a computer science data scientist may have a stronger background in software development and machine learning. Skills in programming, data manipulation, and understanding of algorithms are essential for both positions.

Is a computer science data science degree good for data science?

A computer science data science degree provides a strong foundation in programming, algorithms, and data analysis, which are essential skills for data science roles. It often includes coursework in machine learning, statistics, and data management, making it well-suited for entry-level and advanced data science positions. Practical experience with tools like Python, R, and SQL can further enhance job prospects in the field.

What cities near Williamsburg, VA are hiring for Computer Science Data Science jobs?

Cities near Williamsburg, VA with the most Computer Science Data Science job openings:

Infographic showing various Computer Science Data Science job openings in Williamsburg, VA 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 $117,681 per year, or $56.6 per hour.

AI Training Specialist - Life Sciences

micro1 AI

Newport News, VA • Remote

$90 - $120/hr

Part-time

Posted 23 days ago


Job description

Role Title: Bioinformatics Scientist


Role Type: Contractor


Location: Remote


micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze complex datasets related to medicinal chemistry using advanced bioinformatics methodologies.
  2. Provide detailed scientific input and content to support the development and training of AI models.
  3. Curate, annotate, and validate datasets relevant to drug discovery and molecular analysis.
  4. Evaluate and synthesize findings from biological, chemical, and clinical data sources.
  5. Offer subject matter expertise on experimental design and data interpretation within medicinal chemistry.
  6. Assess AI-generated outputs for scientific accuracy, relevance, and reliability.
  7. Deliver comprehensive written feedback and actionable recommendations for model improvement.


Preferred Qualifications

  1. Advanced degree (e.g., PhD or MSc) in Bioinformatics, Computational Biology, Medicinal Chemistry, or a related discipline.
  2. In-depth knowledge of medicinal chemistry concepts, including structure-activity relationships and drug design principles.
  3. Demonstrated experience in handling and interpreting large-scale omics or cheminformatics datasets.
  4. Familiarity with software tools, databases, and programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME).
  5. Strong scientific communication skills, with the ability to clearly articulate complex ideas and technical concepts.
  6. Proven track record of contributing to research projects at the intersection of biology, chemistry, and data science.
  7. Experience collaborating in multidisciplinary or remote project environments is advantageous.