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Data Science Software Engineer Jobs in Virginia (NOW HIRING)

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the ...

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

DEGREE (Level Desired) Bachelor's Degree DEGREE (Focus) Computer Science, Software Engineering, Information Technology, Computer Engineering, Electrical Engineering, Data Science, Cybersecurity ...

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Showing results 1-20

Data Science Software Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data science software engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for data science software engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Software Engineer, and why are they important?

To thrive as a Data Science Software Engineer, you need strong proficiency in programming (especially Python or R), a solid understanding of statistics and algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with machine learning frameworks (such as TensorFlow or scikit-learn), data processing tools (like Spark or Hadoop), and cloud platforms (AWS, GCP, or Azure) is essential, as are relevant certifications. Excellent problem-solving abilities, communication skills, and the ability to work collaboratively with cross-functional teams set top performers apart. These competencies are vital for efficiently developing scalable data-driven solutions that drive business insights and innovation.

How does a Data Science Software Engineer typically collaborate with data scientists and other stakeholders on projects?

Data Science Software Engineers play a vital role in bridging the gap between data science and software engineering teams. They work closely with data scientists to translate prototypes and models into scalable, production-ready code, and often collaborate with product managers, analysts, and infrastructure engineers to ensure seamless integration. Regular communication and code reviews are essential, as is an iterative development process to address feedback and ensure solutions meet both technical and business requirements. This cross-functional collaboration helps deliver robust data-driven applications that align with organizational goals.

What is a Data Science Software Engineer?

A Data Science Software Engineer is a professional who combines software engineering skills with data science expertise to build scalable data-driven systems and applications. They design, develop, and optimize software that supports data pipelines, machine learning models, and analytics platforms. Their work bridges the gap between data scientists, who focus on statistical analysis and modeling, and traditional software engineers, who focus on building robust and efficient software systems. Data Science Software Engineers ensure that data solutions are production-ready, scalable, and maintainable.

What is the difference between Data Science Software Engineer vs Data Analyst?

AspectData Science Software EngineerData Analyst
Required SkillsProgramming, software development, machine learningData visualization, statistical analysis, reporting
Work EnvironmentSoftware development teams, engineering projectsBusiness units, reporting teams
Common ToolsPython, Java, SQL, ML frameworksExcel, Tableau, SQL, R
Industry UsageTech, finance, healthcare, startupsMarketing, finance, retail, research

While both roles analyze data, Data Science Software Engineers focus on developing software solutions and machine learning models, requiring strong programming skills. Data Analysts primarily interpret data through visualization and statistical methods to support business decisions. The roles often overlap but serve different functions within organizations.

Data Scientist / Software Engineer

Data Scientist / Software Engineer

Cymertek

Reston, VA โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 22 days ago


Job description

Data Scientist / Software Engineer
LOCATION
Reston, VA 20190
CLEARANCE
TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)
KEY SUMMARY
We are seeking a passionate and innovative Data Scientist / Software Engineer to join our team and help drive the development of data-driven software solutions. In this role, you will work at the intersection of data science and software engineering, developing models and algorithms that extract actionable insights from large datasets while ensuring the scalability and reliability of the software. The ideal candidate will thrive in a collaborative environment, using their problem-solving skills to create impactful solutions that enhance business processes and decision-making. If you are eager to work on cutting-edge technology in a dynamic and growing field, we encourage you to apply and be part of our forward-thinking team.
*** Please note that our job openings are dynamic and can open or close quickly (much faster than we can publish). If you do not see an opening you are looking for, know that we see almost all types of positons. We strive to keep our listings up to date, but please consider submitting your current resume. Our team will work with you to identify the most recent opportunities that align with your skillset and career goals. We look forward to you joining our family. ***
SIMILAR CAREER TITLES
Data Engineer, Machine Learning Engineer, Software Engineer, Data Analyst, Research Scientist, Artificial Intelligence Engineer, Data Architect, Data Science Developer, Business Intelligence Engineer, Computational Scientist, ect.
DEGREE (Level Desired)
Bachelor's Degree
DEGREE (Focus)
Computer Science, Data Science, Software Engineering, Artificial Intelligence, Applied Mathematics, Statistics, Information Technology, Computational Science, Electrical Engineering, Machine Learning, ect.
ALTERNATE EXPERIENCE
General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.
POSITION RESPONSIBILITIES
  • Design and implement data-driven applications
  • Analyze and interpret complex datasets
  • Build and optimize machine learning models
  • Develop and maintain data pipelines and workflows
  • Collaborate with teams to translate data insights into actionable solutions
  • Document and present analytical results effectively

REQUIRED SKILLS
  • Proficiency in Python or R
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch)
  • Knowledge of data visualization tools (e.g., Tableau, Matplotlib)
  • Understanding of SQL and database management systems
  • Familiarity with data cleaning and preprocessing techniques
  • Ability to implement end-to-end data science solutions

DESIRED SKILLS
  • Familiarity with cloud platforms for data analytics (e.g., AWS, GCP)
  • Knowledge of big data technologies (e.g., Hadoop, Spark)
  • Experience with natural language processing
  • Understanding of advanced statistical and mathematical modeling
  • Familiarity with real-time data streaming tools
  • Ability to integrate predictive models into production systems

PLUG IN to CYMERTEK - And design your future...
YOUR FOREVER CAREER STARTS HERE
Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.
At our company, you come first. We're committed to creating an environment where you'll thrive professionally and personally. We provide meaningful, challenging work using cutting-edge technologies while investing in your growth and success. With direct access to company leadership, a laid-back and inclusive atmosphere, and exceptional work-life balance, you'll feel valued every day.
We also believe in taking care of our family - both yours and ours. Our benefits are phenomenal, family-friendly, and designed with your well-being in mind. From employee and family events to career-long support, we create a community you'll never want to leave.
Ready to make your next move the best one? Join us and experience the difference.
BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage. ($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments

HOW TO APPLY
Email us at jobs@cymertek.com or apply today: www.cymertek.com
Want to see what our employees think? Click here .
EQUAL OPPORTUNITY EMPLOYER STATEMENT
Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.