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Data Scientist
Ardent Principles, IncUnited Statesfull_timeVerifiedPosted 24 Nov 2025
About the role
Data Scientist
Department: Data Analysis and Technology Services
Employment Type: Full Time
Location: Chantilly, VA
Description
REQUIRED: Active TS/SCI with Full Scope PolygraphLOCATION: Full-time, onsite in Chantilly, VA
Join our team as a Data Scientist where your expertise will be the core of our predictive analytics strategy. We require candidates with demonstrated proficiency across Python, R, and JavaScript, as well as practical experience applying leading ML/DL frameworks like Pandas, Scikit, and TensorFlow to build and validate high-performance statistical models.
With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Key Responsibilities
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:- Python, Javascript, and R.
- Employing machine learning and deep learning modules such as Pandas, Scikit, Tensorflow, Pytorch.
- Statistical inference, as well as building and understanding predictive models, using machine learning methods.
- Working with large-scale text analytics.
- Develops and conducts independent testing and evaluation methods on research-grade algorithms in applicable fields.
- Reports results and provides documentation and guidance on working with the research-grade algorithms.
- Evaluates, Integrates and leverage internally-hosted data science tools.
- Customizes research grade algorithms to be optimized for memory and computational efficiency through quantizing, trimming layers, or through custom methods.
Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:- Hands-on experience performing research or development with natural language processing and working with, deploying, and testing Convolutional Neural Networks (CNN), large-language models (LLMs) or foundational models.
- Developing and deploying testing and verification methodologies to evaluate algorithm performance and identify strategies for improvement or optimization.
- Deploying machine learning models on multimedia data, to include joint text, audio, video, hardware, and peripherals.
- Linux System Administration and associated scripting languages (Bash)
- Android configuration, software development, and
interfacing. - Embedded systems (Raspberry Pi).
What We Offer You
- Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
- Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
- Dedicated Training Budget: Supporting continuous learning and professional development.
- 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
- 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
- 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
- 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
- Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive c
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