Data Scientist SME
NuAxis Innovations Falls Church, Virginia, United States
Information Technology & Services · 201-500 employees
About the role
The Data Scientist SME will lead the design and evaluation of AI, GenAI, and machine-learning approaches for regulatory workflows and knowledge management. They will also develop ML-assisted tools for data classification, anomaly detection, and document extraction while ensuring model explainability and reproducibility.
What they look for
Requirements
Candidates should have 8-12+ years of experience in data science, ML, or AI, with a strong preference for 3+ years of modern GenAI/LLM experience. Proficiency in Python, NLP, and agentic AI workflow design is required, along with experience in federal or regulated industries.
Full description
We are a federal IT company on a mission to make customer experience (CX) the center of every government solution.
Technology is our Passion. People are our Purpose.
We know tech, but we love people. NuAxis is home to thinkers and feelers; engineers and artists. We work hard and support each other along the way. Teamwork is more than just a buzzword for us, it’s a state of mind.
We believe happy employees do amazing work, so join our team NOW! We are currently seeking a talented and motivated Data Scientist SME for a Part-Time position.
Role Summary
The Data Scientist SME will lead the design and evaluation of AI, GenAI, machine-learning and agentic approaches for regulatory workflows, knowledge management, document processing, data quality and decision support.
Responsibilities
- Identify high-value AI/GenAI opportunities within existing USFWS processes.
- Design agentic workflows with appropriate levels of human oversight.
- Develop NLP/LLM approaches to analyze unstructured text and historical records.
- Support AI-assisted knowledge-management capabilities.
- Develop ML-assisted approaches for:• data classification;
- anomaly detection;
- data-quality checks;
- record validation;
- document extraction;
- controlled-vocabulary mapping.
- Define confidence thresholds and human-in-the-loop review processes.
- Establish precision, recall and other model-quality measures.
- Design approaches for retrieval, summarization and analysis of scientific/regulatory knowledge.
- Work with data engineers to prepare AI-ready datasets.
- Ensure explainability, traceability, reproducibility and responsible use of AI.
- Develop reference implementations in Python and/or R.
The SOO requires AI-first generative and agentic optimization but also demands measurable classifier precision/recall and human review for low-confidence results.
Recommended Recruiting Qualifications
- 8–12+ years in data science, ML or AI.
- 3+ years modern GenAI/LLM experience strongly preferred.
- Python expert.
- Strong NLP, embeddings, RAG, classification and information-extraction experience.
- Agentic AI / multi-step AI workflow design.
- Model evaluation and responsible AI.
- OCR/document intelligence experience desirable.
- AWS AI/data-service experience.
- Federal or regulated-industry experience highly desirable.
- Experience handling sensitive/CUI/PII data preferred.
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Does this opportunity sound like a fit for you? If so, join our talent community and click to apply now!!
Our Profile:
We are an IT company with a unique mission—to make people the center of every federal IT solution. Our technologists have always gone the extra mile to help our federal clients succeed. And over the years, we saw a growing disconnect in how federal IT initiatives were built and managed. Time after time, programs failed because the focus was on the tools and products and not the people using them. Learn More.
NuAxis is an Equal Opportunity Employer. Employment is contingent upon successful completion of a background investigation. Learn More about our Benefits and Culture!
#NAI #DICE
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