Data Science and Data Visualization Subject Matter Expert (SME)

CACI International Inc.; Chantilly (VA); On-site; USD 104,000 - 218,000; Full time

Job summary

CACI International Inc. seeks a Sr. Data Scientist to join the Data & Analytics team in Chantilly, VA. You will lead data-driven analyses, build ML models, and visualize insights for stakeholders, communicating results clearly to enable informed decisions.

The role requires TS/SCI clearance with CI poly, 7+ years of experience, and expertise in Tableau/Power BI, Python/R/SQL, and LLMs. You will collaborate across teams and help advance data governance and ingestion processes.

Qualifications

• Active TS/SCI Clearance with CI Polygraph.
• 7+ years overall experience and 5+ years in data science/data analytics roles.
• Bachelor’s degree as listed (or related field).
• Proficiency with Tableau and Power BI including data connection, manipulation, and visualization.
• Hands-on experience with LLMs and generative AI frameworks.
• Strong problem-solving and communication skills.

Responsibilities

• Work with cross-functional teams to identify, research, and solve complex analytical problems.
• Analyze large data sets to extract meaningful insights.
• Design, build, and maintain ML models and algorithms.
• Collaborate with data engineers to improve data collection and storage processes.
• Present findings and recommendations to stakeholders clearly.
• Support data management requirements across data strategy, modeling, and governance.

Skills

Data Visualization

Statistics

ML & AI

Communication

Independent Work

Education

Bachelor's degree in related field

Tableau Certified Professional (Preferred)

Tools

Tableau

Power BI

Python

R

SQL

MLflow

Kubeflow

Docker

Kubernetes

Job description

Job Title: Data Science and Data Visualization Subject Matter Expert (SME)Job Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: TS/SCI with PolygraphEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * *Job DescriptionCACI is seeking a skilled and motivated Sr. Data Scientist to join our dynamic Data & Analytics team. The ideal candidate will have a strong background in statistics, machine learning, and data mining, with the ability to visualize and communicate complex data clearly and effectively.ResponsibilitiesWork with cross-functional teams to identify, research, and solve complex analytical problemsAnalyze large data sets to extract meaningful insightsDesign, build, and maintain machine learning models and algorithmsCollaborate with data engineers to improve data collection and storage processesPresent findings and recommendations to stakeholders in a clear and actionable mannerSupport broad Data Management requirements, including: Data Strategy, Modeling, and Documentation Data Feed Identification Infrastructure Management Data Ingestion and Feed Automation Data Transformation Data Catalog and Metadata Management Data Quality Management Data GovernanceEvaluate and integrate emerging AI/ML tools and frameworks to enhance analytic capabilities and operational efficiencyRequired QualificationsActive TS/SCI Clearance with CI PolygraphMinimum of 7 years overall experience and 5+ years of related experience as a Data Scientist, Data Analyst, or similar roleBachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or a related fieldProficiency with data visualization tools such as Tableau and Power BI, including data connection, manipulation, and visualizationHands-on experience with LLMs and generative AI frameworksKnowledge of statistical analysis methodologies and data visualization practicesExcellent problem‑solving skills and attention to detailStrong communication and collaboration skillsAbility to work independently and manage multiple projects simultaneouslyDesired QualificationsTableau Certified Professional (Preferred)Current Security+ or DoD 8570 IAT Level II CertificationExperience with scripting in Tableau (automation, troubleshooting, integration, performance optimization)Proficiency in Python, R, SQL, and other relevant programming languagesExperience with machine learning, predictive modeling, and data miningKnowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes)Experience with cloud computing platforms and services, particularly in government/classified environments (e.g., AWS GovCloud, Azure Government, C2S)-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.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.The proposed salary range for this position is:$103,800 - $218,100CACI 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.