DoW SkillBridge Fellowship - Data Scientist
This fellowship bridges the gap between research and production by developing AI/ML solutions that transition from prototypes to scalable, operational systems, emphasizing MLOps and generative AI integration. The role targets transitioning service members to apply data science and engineering skills in a collaborative, mission-driven financial services environment.
Skills required
About this role
**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)
