Data Scientist - Enterprise Digital Transformation and Analytics
Job Category: Science
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Continental US
The Opportunity:
Join CACI's Enterprise Digital Transformation and Analytics Team to develop and deploy AI solutions and products. Our team integrates with all functional areas across operations and the business such as business development, contracts, finance, accounting, human resources, and other programs. We're seeking an early career AI engineer who will leverage generative AI, machine learning, and innovative analytics to develop solutions that drive operational excellence, optimize business processes and find and understand predictive insights. You will apply your expertise, curiosity, innovation and customer centric approach to core AI development, data engineering/cloud operations, and internal consulting.
You will work directly with senior customers to understand the business processes and how the data is used for decision activities and pose business questions to help drive data discoveries, data design, and proof of concepts. Use an agile, analytical approach to design, develop, and evaluate AI models and advanced algorithms on both structured and unstructured data. Generate and test hypotheses and derive patterns, trends, and correlations. Build repeatable machine learning systems to automate AI models. Effectively consult and communicate with senior leaders of the results of the data models.
AI/ML Development: Lead the development of sophisticated machine learning models, statistical analysis, and Generative AI solutions. This includes developing NLP models, integrating large language models (LLMs) into existing workflows, and building scalable algorithms that work effectively across structured and unstructured data sources to solve real business challenges.
Data Engineering & Cloud Operations: Design, develop, and maintain robust data pipelines and cloud infrastructure on AWS, leveraging services such as SageMaker, Glue, Athena, Bedrock, Knowledge Bases, and Agents to ensure scalable deployments for AI models and application development.
Internal Consulting: Partner with senior stakeholders across the organization to understand business needs, present insights, and drive AI-powered initiatives. Work to educate the masses on how to leverage AI and follow best practices.
Applicants must be local to the DMV as regular onsite integration and collaboration to Reston, VA will be required as needed.
Responsibilities:
Develop applications using Large Language Models (LLMs) and other GenAI technologies
Design and implement sophisticated machine learning models, including advanced regression, classification, and clustering techniques
Create and validate statistical prediction models
Conduct rigorous model evaluation and testing
Lead feature engineering and algorithm optimization efforts
Translate technical concepts into business value propositions
Present findings and recommendations to stakeholders
Drive adoption of AI solutions across the organization
Data Engineering & Cloud Operations:
Architect and maintain data pipelines using AWS services (Athena, ECS, Glue, Lambda, s3)
Implement MLOps practices for model deployment and monitoring
Design scalable data processing solutions
Manage data quality and infrastructure reliability
Optimize cloud resource usage and performance
Qualifications:
Required:
U.S. Citizenship is required
Bachelor's Degree or equivalent experience with 2-3 years of AI/ML experience
Strong expertise in machine learning algorithms and statistical modeling
Proven experience with LLMs and advanced NLP techniques
Proficiency in Python and key ML libraries (scikit-learn, Pandas, NLTK, Transformers)
Experience with AWS cloud services and MLOps
Excellence in technical communication and stakeholder management
Ability to maintain confidentiality and work in time-critical environments
Desired:
Experience developing AI initiatives in enterprise environments
Certification in AWS Machine Learning or related specializations
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What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Your potential is limitless. So is ours.
Learn more about CACI here. (https://careers.caci.com/global/en/life-at-caci)
Pay Range : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here (https://careers.caci.com/global/en/employee-benefits) .
The proposed salary range for this position is:
$79,400 - $162,700
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
