Sr. Data Scientist

Alakaina Family of Companies • NM

84d

About The Position

The Alaka`ina Foundation Family of Companies (FOCs) is looking for a Sr. Data Scientist to support our government customer located at Kirtland AFB in Albuquerque, New Mexico. Kāpili maintains a repository of over 20,000 films, 2,000,000 photographs, and 60,000,000 pages of documents dating back to The Manhattan Project. Kāpili Services will make repository digitally accessible to DTRA deterrent mission researchers in a way that provides knowledge and meaning using Machine Learning (ML), Artificial Intelligence (AI), and data science to return relevant search results to user queries. The Data Scientist will collaborate with a team of software developers, system users (researchers), system administrators, and librarians to develop and deploy AI-powered data-driven models that enhance search and discovery capabilities within the DTRIAC Collection. Leverage advanced analytics, data science, and AI/ML capabilities to perform targeted analyses, predictive modeling, and data mining, providing dedicated support to missions, end-users, and stakeholders through data-driven insights and recommendations.

Requirements

• CompTIA Security+ Certification required (Can be obtained on the job with first six weeks)
• Five plus (5+) years relevant experience working on AI/ML/data science products
• Understanding of complex workflows
• Strong Programming Skills in Python
• Experience using PyTorch, TensorFlow, Transformers (HuggingFace) or similar machine learning libraries
• Model training and deployment experience in NLP and/or CV (esp. LLMs and ViTs)

Nice To Haves

• Experience using revision control software such as git
• Experience with DevSecOps, MLOps, and related software (esp. GitLab, MLFlow)
• Experience with containerization (esp. Docker, Podman, Kubernetes)
• Experience with NoSQL databases and ETL (esp. ElasticSearch and neo4j)
• Experience with search and RAG
• Clear written and oral communication skills
• Ability to work collaboratively on a small full-stack team of data engineers, software engineers, and data scientists developing AIML applications for challenging datasets

Responsibilities

• Design, develop, and deploy artificial intelligence (AI) and machine learning (ML) enabled methods for navigating, searching, inserting, and extracting information or files from the Data Lake.
• Leverage natural language processing (NLP), deep learning, and predictive analytics to support government and performer requirements.
• Design and implement cutting-edge technologies such as semantic search, retrieval-augmented generation (RAG), interactive chatbots, and topic visualization techniques.
• Collaborate with developers, administrators, and data engineers on implementing and refining computer vision, OCR, and information extraction technologies for automated metadata extraction, cataloging, and data enrichment.
• Implement, configure, and perform functional testing of applications, utilizing containerization, microservices architecture, and DevOps practices.
• Develop and refine data models for the repository/Data Lake, incorporating graph-based models, knowledge graphs, and ontologies.
• Support integration, hosting, and deployment of AI/ML-enabled capabilities and products on government IT systems.
• Participate in Gate Reviews, providing input on AI/ML strategy, data science roadmap, and technical debt management.
• Create documentation and training materials for Project Products.
• Maintain technical proficiency through ongoing education and professional development.

Benefits

• Competitive salaries
• 401K plan with company match
• Medical, dental, disability, and life insurance coverage
• Tuition reimbursement
• Paid time off
• 11 paid holidays

What This Job Offers

• Career Level: Senior
• Number of Employees: 501-1,000 employees