DoW SkillBridge Fellowship - Data Scientist

**TRANSITIONING SERVICE MEMBERS ONLY AS PART OF THE DoW/DoD SKILLBRIDGE PROGRAM FELLOWSHIP**

Sitting at the intersection of Data Science, ML Engineering, and AI Engineering, this role combines data science, AI/ML engineering, MLOps, generative AI development, and data engineering fundamentals to translate business needs into scalable solutions and close the gap between proof of concept and production-ready capability.

Join a team that sits at the intersection of Data Science, ML Engineering, and AI Engineering. Combine data science, AI/ML engineering, MLOps, generative AI development, and data engineering fundamentals to translate business needs into scalable solutions and close the gap between proof of concept and production-ready capacity.

Responsibilities

• Scale AI solutions beyond experimentation
• Automate analysis for growing volumes of call transcripts, surveys, digital feedback, and other service interaction date
• Implement generative AI, LLM, RAG, and intelligent automation opportunities.
• Analyze and interpret results with some complexity
• Develop and code basic software programs, algorithms, and automated processes
• Use modeling and trend analysis to analyze data
• Collaborate with team members and participate in team projects and initiatives
• Utilize effective written and verbal communication to document and present findings

Qualifications

• Experience in the fields of Data Science, AI & NLP, ML Engineering, and/or Data Foundations
• Statistics, predictive modeling, forecasting, experimentation, or similar data science techniques
• SQL, Python, APIs, ETL and data pipelines, or similar data foundations
• Model lifecycle execution
• Data storytelling and technical presentation skills
• Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.)
• Problem Solving (Responds as problems and issues are identified)
• Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields, or equivalent experience

Desired Qualifications

• Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering fields
• AI & NLP experience with LLMs, prompt engineering, RAG, embeddings, text analytics, or similar functions
• ML engineering experience with deployment, monitoring, MLOps, CI/CD, or similar production systems and functions
• PySpark
• Familiarity with vector databases
• Cloud platforms and tools like Databricks, Azure AI Foundry, Azure OpenAI, MLflow, or similar

Salary:
$70,000 - $135,600 annual (Potential salary if hired by Navy Federal as a full-time employee: SkillBridge participants are not eligible for compensation from Navy Federal, as they continue to receive military compensation and benefits as active-duty service members)