DoW SkillBridge Fellowship - Data Scientist
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- Highly competitive pay
- Generous benefits and perks
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Career Level
Entry Level
