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Data Science Contract Jobs in Virginia (NOW HIRING)

Experience with data science platforms such as RStudio, Spark , or similar tools * Strong documentation and project management skills * Active TS/SCI clearance required at contract start Preferred ...

... Threat Reduction Agency (DTRA) contract, executed in direct partnership with the Defense ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

Data Scientist

Arlington, VA · On-site

$69K - $125K/yr

... DTP) contract working alongside software/system engineers and research/data scientists with ... You will be delivering cutting edge data science capabilities to advance national security ...

Data Scientist

Mclean, VA · On-site

$117.70 - $218.60/hr

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening ...

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening ...

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening ...

Experience with data science platforms such as RStudio, Spark , or similar tools * Strong documentation and project management skills * Active TS/SCI clearance required at contract start Preferred ...

Outside of contract work, TRSS Data Scientists contribute to internal innovation by participating in research and development (R&D), developing and maintaining shared capabilities, strengthening ...

Science Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular ... contract on site at our Hampton Roads location. In this role, you will bridge the gap between ...

... data science platforms such as RStudio, Spark, or similar tools • Strong documentation and project management skills • Active TS/SCI clearance required at contract start Preferred : • ...

... data science platforms such as RStudio, Spark, or similar tools • Strong documentation and project management skills • Active TS/SCI clearance required at contract start Preferred : • ...

Lead Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

... contract requirements, and stakeholder expectations. * Apply expert knowledge of data science methods, data management practices, model evaluation, governance, and quality assurance to ensure ...

Sr. Data Scientist

Fairfax, VA · On-site

$175K - $205K/yr

This position is contingent upon contract award. Are you passionate about building intelligent ... The ideal candidate enjoys working at the intersection of data science, search relevance, and large ...

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... This is not a contract and may be adjusted as deemed appropriate in Redhorse's sole discretion. EOE ...

... contract requirements, and stakeholder expectations. • Apply expert knowledge of data science methods, data management practices, model evaluation, governance, and quality assurance to ensure ...

... contract requirements, and stakeholder expectations. · Apply expert knowledge of data science methods, data management practices, model evaluation, governance, and quality assurance to ensure ...

Showing results 21-40

Data Science Contract information

See Virginia salary details

$22.9K

$107.8K

$199.4K

How much do data science contract jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science contract in Virginia is $107,823.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,948.00 and $151,228.00 per year, depending on experience, location, and employer.

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What cities in Virginia are hiring for Data Science Contract jobs? Cities in Virginia with the most Data Science Contract job openings:
Infographic showing various Data Science Contract job openings in Virginia 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 $107,823 per year, or $51.8 per hour.

Data Scientist- Senior

RIVIDIUM

Quantico, VA • On-site

Full-time

Re-posted 11 days ago


Job description

RiVidium Inc. is seeking a highly experienced Senior Data Scientist to transform complex data into actionable insights that drive strategic decision-making. The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big data technologies, along with the ability to solve complex problems and predict future trends.

This role requires close collaboration with business stakeholders and cross-functional teams to understand organizational challenges, translate data into meaningful insights, and deliver scalable data-driven solutions. The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and model development to deployment and performance monitoring.

Key Responsibilities

  • Lead the design, development, and deployment of advanced statistical and machine learning models
  • Translate complex data into actionable insights to support business strategy and decision-making
  • Manage data science projects from conception through deployment, ensuring timely and high-quality delivery
  • Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
  • Build and optimize predictive models to solve complex problems and forecast future outcomes
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement
  • Design and implement data platforms for analysis, experimentation, and scalability
  • Assess and improve data quality, data sources, and data collection methodologies
  • Develop algorithms and analytical tools to extract insights from structured and unstructured data
  • Present findings through clear visualizations and storytelling techniques for technical and non-technical audiences
  • Drive innovation and continuous improvement in data science methodologies and technologies
  • Ensure data standardization, governance, and best practices across projects
  • Stay current with emerging trends in data science, machine learning, and artificial intelligence

Minimum Qualifications

  • Bachelor?s or Master?s degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, or a related quantitative field (or equivalent experience in fields such as economics, engineering, or physics)
  • Minimum 10 years of relevant professional experience
  • 6?8 years of experience leading and executing data science projects, preferably in areas such as risk modeling, real-time analytics, performance optimization, or quality assessment
  • Strong proficiency in programming languages such as Python, R, Java, C++, MATLAB, or similar
  • Experience with SQL, PL/SQL, and NoSQL or Hadoop-based database technologies
  • Hands-on experience with data visualization tools and techniques
  • Strong knowledge of machine learning algorithms, statistical modeling, and data mining techniques
  • Experience with big data technologies such as Hadoop, Apache Spark, or similar platforms
  • Familiarity with natural language processing (NLP) and/or image processing techniques
  • Experience working with Microsoft tools, including SharePoint
  • Strong analytical, problem-solving, and critical thinking skills
  • Excellent communication, presentation, and stakeholder engagement abilities
  • Experience working across cloud, on-premises, and hybrid environments, including containerization technologies such as Docker, Kubernetes, and AWS Elastic Container Service (ECS)
  • Experience with data science platforms such as RStudio, Spark, or similar tools
  • Strong documentation and project management skills
  • Active TS/SCI clearance required at contract start

Preferred Qualifications

  • Specialized expertise in text analytics, image recognition, graph analytics, or deep learning
  • Experience solving complex problems in computer vision or natural language processing domains
  • Prior experience supporting the Department of War (DoW) or Department of the Navy (DoN)
  • Familiarity with federal law enforcement (LE) systems or prior experience in LE environments

Work Environment

  • Collaborative, mission-focused environment supporting federal and defense initiatives
  • Opportunity to work on cutting-edge data science and AI/ML technologies