Enterprise Data Scientist - Innovation with AI and ML

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

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The Opportunity:

Join CACI's Enterprise Digital Transformation and Analytics Team to apply AI and machine learning to solve predictive and operational challenges. Our team integrates with Business Development, Finance, Accounting, Human Resources, and Programs/Projects. We're seeking an experienced, curious and creative data scientist to develop solutions using advanced classical machine learning techniques, state-of-the-art language models (LLMs), and innovative data analysis approaches. You will bring your expertise, curiosity, innovation and customer centric approach to employ a variety of programming languages and tools for data engineering, pre-processing and transforming data, and features engineering.

As part of our customer centric methodology, 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 descriptive and predictive 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 predictive models. Effectively consult and communicate with senior leaders of the results of the data models. In addition, you will use leverage the AWS environment for data analytics and machine learning services to include Athena, SageMaker, Kendra, OpenSearch, , etc. along with other related toolsets.

Responsibilities:

Develop and implement sophisticated classical machine learning models, including advanced regression, classification, clustering, and dimensionality reduction techniques.Develop creative applications of Large Language Models (LLMs) to solve complex business problems and uncover new opportunities for growth and efficiency.Work closely with senior executives to conceptualize and prototype AI-powered business models.Design and build scalable, production-ready machine learning systems that automate predictive modeling across the enterprise.Leverage AWS cloud services (Amazon Athena, Redshift, Glue) and other cutting-edge tools to process and analyze massive datasets.Conduct exploratory data analysis to uncover hidden patterns and opportunities within our vast data repositories.Translate complex analytical findings into clear, actionable insights for senior management decision-makers.Bring forth a well-rounded consulting approach - strong analytical, organizational and data management skills along with the ability to translate complex findings into clear, actionable insights for senior management decision-makers.

Qualifications:

Required: 

U.S. Citizenship is required.Bachelors’ Degree or equivalent experience and a minimum of 3-5 years of experience applying ML/AI  in a business context.Deep expertise in classical machine learning algorithms and their mathematical foundations.Proven experience applying advanced NLP techniques and working with large language models (e.g., LLMs)Strong programming skills in Python, with extensive use of libraries such as scikit-learn, Pandas, NLTK, and Hugging Face Transformers.Demonstrated ability to develop novel ML/AI solutions that directly impact business outcomes.Experience presenting complex technical concepts to senior executives and translating them into strategic business initiatives.Ability to work in a time critical environment and prioritize workload effectivelyAbility to interact professionally with a diverse group of executives, managers, and subject matter expertsAbility to keep information organized and confidentialStrong written and verbal communication skillsProficiency with data visualization tools to create compelling, data-driven narratives.

Desired:

Experience with AWS cloud architecture and MLOps practice

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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 takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. 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.

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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.

The proposed salary range for this position is:

$72,200 - $147,900

CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.