Enterprise Data Scientist - Innovation with AI and ML

$72,200 - $147,900/Yr

CACI International - Reston, VA

Full-time - Mid Level

Reston, VA

Professional, Scientific, and Technical Services

About the position

The Enterprise Data Scientist role at CACI focuses on leveraging AI and machine learning to address predictive and operational challenges across various business functions. The position requires a creative and experienced data scientist to develop advanced machine learning models and innovative data analysis solutions, working closely with senior executives to drive data-driven decision-making and uncover new business opportunities.

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.

Requirements

• 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 effectively.
• Ability to interact professionally with a diverse group of executives, managers, and subject matter experts.
• Ability to keep information organized and confidential.
• Strong written and verbal communication skills.
• Proficiency with data visualization tools to create compelling, data-driven narratives.

Nice-to-haves

• Experience with AWS cloud architecture and MLOps practice.

Benefits

• Healthcare benefits
• Wellness programs
• Financial benefits
• Retirement plans
• Family support
• Continuing education opportunities
• Flexible time off benefits