Data Scientist​/Software Engineer

Data Scientist / Software Engineer

LOCATION
Chantilly, VA 20151

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.

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.

• 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

• Proficiency in Python or R
• Experience with machine learning frameworks (e.g., Tensor Flow, 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

• 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

• 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

Email us at  or apply today:

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.