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Full Stack Data Scientist Jobs in Virginia (NOW HIRING)

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw ...

... Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers ... Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration ...

Join our team and play a key role in developing and deploying innovative applications that leverage data science models and emerging technologies. If you have a passion for full-stack development and ...

We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence ... What You'll be Owning GRVTY is seeking a Full Stack Developer with a TS/SCI + Poly clearance ...

... full-stack developers, platform engineers, and mission stakeholders to transform raw data into ... science, machine learning engineering, or data pipeline development. • Proficient in Python, SQL ...

... Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers ... Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration ...

... Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers ... Data Scientists, Data Engineers, Data Analysts, AWS Engineers, DevOps Engineers, Cloud Migration ...

... Full Stack Software Engineers, Web Application Developers, Java Developers, JavaScript Developers ... THE ROLE The Geospatial Data Scientist is responsible for gathering project requirements from the ...

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Showing results 1-20

Full Stack Data Scientist information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do full stack data scientist jobs pay per year?

As of Jun 13, 2026, the average yearly pay for full stack data scientist in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Full Stack Data Scientist position, and why are they important?

To thrive as a Full Stack Data Scientist, you need expertise in data analytics, statistical modeling, machine learning, as well as proficiency in both backend (e.g., Python, SQL) and frontend (e.g., JavaScript, React) development, typically supported by a degree in computer science, data science, or a related field. Experience with tools such as TensorFlow, Scikit-learn, Docker, and cloud platforms, along with relevant certifications, is highly valued. Strong problem-solving abilities, clear communication, and the capability to work cross-functionally make candidates stand out. These skills are essential for building robust end-to-end data-driven solutions that can be deployed and maintained within real-world business environments.

What is a Full Stack Data Scientist job?

A Full Stack Data Scientist is a professional who handles the entire data science workflow, from data collection and processing to model development, deployment, and monitoring. They possess skills in data engineering, machine learning, software development, and cloud technologies. Their role bridges the gap between data science and production systems, ensuring that insights and models are effectively integrated into real-world applications.

What kind of projects do Full Stack Data Scientists typically work on?

Full Stack Data Scientists commonly work on projects that span the entire data pipeline, including data collection, cleaning, model development, and deployment of interactive data-driven applications. They may develop machine learning models to solve business problems and then create dashboards or web apps to enable non-technical teams to interact with the results. Collaboration is frequent with data engineers, product managers, and business stakeholders to align technical solutions with organizational goals. These projects offer opportunities to make a tangible impact by turning raw data into actionable insights and scalable tools.

What are the most commonly searched types of Full Stack Data Scientist jobs in Virginia? The most popular types of Full Stack Data Scientist jobs in Virginia are:
What are popular job titles related to Full Stack Data Scientist jobs in Virginia? For Full Stack Data Scientist jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Full Stack Data Scientist jobs in Virginia look for? The top searched job categories for Full Stack Data Scientist jobs in Virginia are:
Infographic showing various Full Stack Data Scientist job openings in Virginia as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $163,603 per year, or $78.7 per hour.
Full-Stack Data Engineer (TS/SCI)

Full-Stack Data Engineer (TS/SCI)

IBM

Mclean, VA • On-site

Full-time

Posted 4 days ago


IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

99th of 189 rated software companies


Job description

Job Summary:
IBM is committed to providing senior National Security leaders with decision-worthy data and analysis to improve the effectiveness of Intelligence systems. They are seeking a TS//SCI cleared Full Stack Data Engineer who specializes in formulating mathematical approaches to solve complex business problems and utilizing predictive analytics tools to draw conclusions and present findings.
Responsibilities:
• Design and Build Solutions: Design, build, and manage solutions that involve preparing data, performing statistical analysis, data collection, data mining, and text mining, and deploying analysis results.
• Perform Statistical Analysis: Perform statistical analysis and data mining to identify trends and patterns and utilize predictive analytics tools like SPSS to draw conclusions and present findings.
• Formulate Mathematical Approaches: Formulate mathematical approaches to solve complex business problems, including mathematical optimization, discrete-event simulation, and rules programming.
• Prepare and Collect Data: Gather and prepare data for analysis, ensuring data quality and integrity.
• Deploy Analysis Results: Deploy analysis results and findings to stakeholders, presenting insights and recommendations for business improvement.
Qualifications:
Required:
• US Citizen with active TS//SCI clearance or show immediate eligibility according to DISS security database (SCI within last 2 years)
• Bachelor’s Degree, preferably in STEM fields.
• 2+ years of experience applying data engineer or software development skills to develop analytic tools, deliver mission support services and create data visualization capabilities.
• 2+ years of experience using Python or similar programming languages (Ruby, Java, R).
• 2+ years of experience with database development (SQL and NoSQL).
• 1+ year of experience leveraging prompt engineering and GenAI tools in a professional work context.
• Experience with advanced text parsing tools to include regex and NLP.
Preferred:
• Master’s Degree, preferably in STEM fields.
• 2+ years of general experience in the military or intelligence community; exposure to ISR capabilities is highly desired
• Experience developing and delivering technology in at least two of the following areas with a willingness to expand to all: data analytics, machine learning, artificial intelligence, data visualization, geospatial analysis, web services, or database development.
• Experience in web design and development using HTML and CSS.
• Experience in advanced AI techniques - fine-tuning ML models and LLMs, implementing chat sessions via API, retrieval-augmented generation, agentic workflows/tooling/function calling, and/or context window optimization
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

What IBM employees say

Pay

Benefits

Hours and flexibility

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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