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Data Scientist Principal Technical Specialist

Dexian DISYS
United States, D.C., Washington
Feb 12, 2026
Data Scientist Principal Technical Specialist
Job details
Posted

12 February 2026
Location

Washington, DC
Job type

Permanent
Reference

993534
Job description

Data Scientist Principal Technical Specialist

This is a remote role, US Citizens or Green Card holders only.

The qualified applicant will be working with [Clients] innovation programs, applying artificial intelligence and machine learning techniques to enhance data-driven decision-making in healthcare, defense, and regulatory environments.
This position will leverage AI/ML to optimize processes, improve automation, and deliver intelligent solutions for stakeholders.

Roles and Responsibilities
* Learn and understand business processes and identify opportunities for AI/ML integration.
* Design, develop, test, and deploy machine learning models and AI-driven applications.
* Implement data pipelines for preprocessing, feature engineering, and model training.
* Apply deep learning, natural language processing (NLP), and predictive analytics to healthcare and regulatory datasets.
* Integrate AI/ML models into production systems, ensuring scalability and reliability.
* Perform model evaluation, validation, and continuous improvement.
* Document methodologies, maintain reproducibility, and ensure compliance with industry standards.
* Collaborate across engineering, data, and operations teams to deploy secure, efficient solutions.
* Support broader software, data science, and automation initiatives.

Basic Qualifications
* Bachelors degree in computer science, Data Science, Engineering, or related field and 5+ years of experience in AI/ML development; OR 8+ years of relevant experience in lieu of degree.
* Minimum 3+ years of experience in machine learning, deep learning, or AI application development.
* Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, Scikit learn)
* Experience building ML pipelines and deploying them as scalable APIs using FastAPI, Docker, and Azure Container Apps
* Knowledge of NLP, computer vision, or time series modeling
* Proficiency with relational and NoSQL databases
* Strong experience with relational databases such as PostgreSQL, MySQL, and MSSQL, including schema design, indexing, and query optimization
* Experience with cloud platforms (Azure, AWS, GCP) and containerized/serverless deployments
* Understanding of identity and access management and secure system integration
* Familiarity with frontend collaboration and API driven architectures
* Strong Linux, DevOps, and CI/CD experience, including server management, environment configuration, and troubleshooting for ML deployments
* Experience consuming OpenAPI-generated clients to ensure consistent communication between frontend and backend services.
* Ability to communicate clearly and accurately in both oral and written forms
* Must be a Green Card Holder or a US Citizen

Preferred Qualifications
* Experience designing or implementing process automations (e.g., RPA), to streamline repetitive tasks and improve operational efficiency.
* Experience with reinforcement learning, big data tools, or MLOps.
* Experience applying AI/ML in healthcare or regulatory domains.

Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support.

Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals.To learn more, please visit https://dexian.com/.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.


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