Navy Federal Credit Union

DoW SkillBridge Fellowship - Data Scientist

Navy Federal Credit Union$70K — $135K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Experience in Data Science, AI & NLP, ML Engineering, or Data Foundations
  • Proficient in statistics, predictive modeling, and experimentation techniques
  • Skilled in SQL, Python, ETL, and building data pipelines
  • Familiarity with model lifecycle execution
  • Strong data storytelling and technical presentation abilities
  • Technical expertise in Big Data analysis and project management
  • Effective problem-solving skills with proactive response to challenges

Responsibilities

  • Scale AI solutions from experimental stages to full production
  • Automate analysis of diverse service interaction data
  • Implement generative AI, LLM, and intelligent automation
  • Analyze and interpret complex data outcomes
  • Develop algorithms and automated software solutions
  • Conduct trend analysis to ascertain data insights
  • Collaborate and contribute to team projects and initiatives

Benefits

  • Opportunity to work at the intersection of Data Science, ML Engineering, and AI Engineering
  • Hands-on experience with cutting-edge technologies like generative AI and LLM
  • Involvement in team-centric projects promoting collaboration
  • Utilization of advanced data analysis techniques and modeling
  • Unique experience tailored for transitioning service members under the SkillBridge program
Full Job Description
Job Description

**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)

About Navy Federal Credit Union

Navy Federal Credit Union is a credit union that serves members of the military and their families. The credit union offers a range of financial products and services, including checking and savings accounts, loans, and credit cards. Navy Federal Credit Union was founded in 1933 and is headquartered in Vienna, Virginia. The credit union has more than 9 million members and operates more than 300 branches across the United States and around the world.
Learn more about Navy Federal Credit Union
Size
18,000 employees
Industry
Founded
1933

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