Data Scientist

CACI•Warner Robins, GA

2d•Hybrid

About The Position

CACI is seeking an experienced and knowledgeable Data Scientist to join our team in support of the Air Force DCGS Program. As a Data Scientist, you will leverage your extensive background in data management and machine learning to analyze complex datasets and provide actionable insights that support mission objectives. You will work within a dynamic cross-functional team to develop and implement data-driven solutions that enhance the capabilities of the DCGS Program. Your expertise in natural language processing, self-supervised learning, and various programming languages will be crucial in optimizing data systems and supporting operations.

Requirements

T S/SCI security clearance
Bachelor’s degree in a foundational STEM-based discipline (e.g., Natural & Physical Sciences, Mathematics, Engineering, Technology & Computer Sciences)
Proficiency in multiple programming languages including Python, R, JS, C++, C, C-Sharp, NetLogo, VBA, BASIC, and SQL
Strong experience with data science tools and frameworks
Background in machine learning with a specialty in natural language processing and self-supervised learning
Experience in developing automated analysis tools and containerized application workflows
Willingness to work a hybrid schedule with occasional onsite requirements

Nice To Haves

Experience with GPU-optimized ETL, data analysis, and cloud deployment
Experience in a DoD or intelligence community environment
Relevant certifications such as TensorFlow in Practice Specialization, Natural Language Processing with Attention Models, or Certificate in Python for Data Science, Web and Core Programming

Responsibilities

Conduct exploratory data analysis using multiple programming languages and data formats to identify trends, patterns, and insights within large datasets
Develop and implement machine learning models and algorithms, with a specialty in natural language processing and self-supervised learning
Support multiple data input paradigms for contextual reuse among models
Create and maintain data pipelines for ingestion, processing, and storage of large-scale data using tools like TensorFlow, PyTorch, PySpark, and Kubernetes
Collaborate with cross-functional teams to align data solutions with mission goals
Communicate complex analytical results to both technical and non-technical stakeholders
Prepare and present data-driven insights and recommendations to senior leadership
Ensure data integrity and compliance with relevant security protocols and regulations
Stay abreast of emerging technologies and industry best practices in data science