Description

Do you crave a career that truly makes an impact in people's lives? Do you thrive on problem-solving and finding solutions? Join a dedicated, tight-knit team that creates an immediate and meaningful impact every day

Leidos QTC Health Services (LQTC) is seeking a Senior Data Scientist to join a fast-paced, innovative team focused on delivering scalable AI/ML solutions across the enterprise. This role is ideal for a highly experienced practitioner who combines strong statistical and machine learning expertise with the ability to design and deploy production-grade systems.

You will lead the development of advanced analytics and AI capabilities, including large language models (LLMs), NLP, and predictive modeling, while working across the full lifecycle from data exploration and prototyping to deployment and monitoring in cloud environments.

This position requires a balance of hands-on modeling, ML system design, and cross-functional collaboration, enabling you to drive measurable business impact across multiple lines of business.

Primary Responsibilities:   

• Design, develop, and deploy machine learning models, including LLMs, transformer-based models, and traditional ML approaches
• Build and optimize NLP, recommendation systems, and predictive analytics solutions to address complex business problems
• Develop and implement RAG (Retrieval-Augmented Generation), prompt engineering strategies, and emerging agentic AI workflows
• Conduct rigorous model evaluation using appropriate statistical methods and performance metrics
• Acquire, integrate, and preprocess structured and unstructured data from diverse sources (e.g., relational databases, NoSQL systems, logs, external datasets)
• Perform feature engineering and data preparation to ensure high-quality inputs for ML models
• Ensure data quality, validation, and governance compliance for AI/ML use cases
• Design and maintain scalable data and ML pipelines to support model training, evaluation, deployment, and monitoring
• Deploy models into production using cloud-native architectures and APIs
• Implement model monitoring, drift detection, and retraining strategies to ensure sustained performance
• Contribute to CI/CD pipelines and ML lifecycle automation
• Contribute to system architecture decisions across data, ML, and cloud platforms
• Provide technical leadership in selecting tools, frameworks, and design patterns for AI/ML solutions
• Mentor junior team members and promote best practices in data science and ML engineering
• Partner with stakeholders, product owners, and subject matter experts to translate business needs into AI/ML solutions
• Communicate findings, insights, and recommendations clearly to both technical and non-technical audiences
• Deliver solutions that drive measurable improvements in efficiency, quality, and business outcomes

Required Qualifications/Competencies:

• Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field. Equivalent combination of education and relevant experience will be considered
• 9+ years of relevant professional experience
• Strong experience in data science, machine learning, or applied AI roles
• Strong proficiency in Python (required); experience with R is a plus
• Hands-on experience with ML frameworks such as PyTorch, TensorFlow, and scikit-learn
• Proven experience developing and deploying LLMs, NLP models, or deep learning systems
• Experience with LLM ecosystems (e.g., Hugging Face, LangChain, vector databases, RAG architectures)
• Strong experience with SQL and data manipulation across relational and non-relational databases
• Experience building and deploying ML solutions in cloud environments (AWS preferred: SageMaker, Bedrock, Lambda, S3, etc.)
• Experience with API development (e.g., FastAPI, Flask) and integrating ML models into production systems
• Solid understanding of statistics, model evaluation, and experimental design
• Demonstrated ability to work across the full ML lifecycle (data → modeling → deployment → monitoring)
• Strong problem-solving skills and ability to operate in a fast-paced, evolving environment
• Excellent communication skills with the ability to influence technical and business stakeholders

Preferred Qualifications:

• Experience with healthcare or medical data (e.g., EHR, claims data, clinical NLP, FHIR standards)
• Hands-on experience with agentic AI systems and multi-agent orchestration frameworks
• Strong background in MLOps and production ML systems, including CI/CD and model lifecycle management
• Experience with distributed data processing frameworks (e.g., Spark, PySpark, Ray)
• Familiarity with vector search technologies (e.g., FAISS, OpenSearch, Pinecone)
• Experience working in regulated environments with data governance and compliance requirements

About Leidos QTC Health Services

Leidos QTC Health Services collaborates closely with government and non-government customers to address current and future program needs within the health services domain. We specialize in disability-focused medical examinations, independent medical exams and review services, occupational health services, diagnostic testing, and case management solutions. As innovators, we focus on advancing technologies that improve service delivery, with a particular emphasis on enhancing accessibility for examinees in rural communities. With a proven track record of continuous improvement and steady growth, we now handle over 2 million appointments annually. Visit www.qtcm.com for more information.

Compensation and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. As a result, we offer meaningful and engaging careers to support you and your career goals, all while nurturing a healthy work-life balance. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available here.

This role may fall under the Service Contract Act (SCA), a federal law which provides for a U.S. Department of Labor-prescribed minimum prevailing rate of pay and certain benefit levels. Where appropriate, Company-provided benefit plans such as comprehensive leave, holiday, medical, dental, life, accident, disability coverages, retirement plan contributions, and other health and welfare benefits and payments are utilized to meet these obligations. 

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos QTC Health Services will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Requirements