Data Scientist – IT Subject Matter Expert

Ardent

Data Scientist and IT Subject Matter Expert supporting Ardent’s federal national-security and defense clients. Applying statistical modeling, machine learning, and analytics to complex operational challenges.

Posted 8/19/2026full-timeRemote • 🇺🇸 United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in data science, analytics, and machine learning, with a strong focus on statistical analysis, predictive modeling, and data visualization. Proven ability to collaborate with diverse stakeholders and communicate complex analytical concepts effectively.

Highest-signal resume keywords

Data Science ExpertiseStatistical AnalysisMachine LearningData VisualizationPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisPredictive ModelingStatistical ModelsData PreparationData TransformationData QualityAnalytical MethodologiesComplex Dataset AnalysisAutomationEmerging Technologies

Soft Skills

Strong Communication SkillsAnalytical SkillsProblem-Solving SkillsCollaborationStakeholder Engagement

Tools & Technologies

PythonRSQLData Visualization ToolsDashboardsTechnical Documentation

Industry Keywords

Data AnalyticsInformation TechnologyEnterprise-Scale DataFederal EnvironmentContinuous Improvement

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Provide subject matter expertise supporting data science, analytics, and machine learning initiatives
Support analysis of complex datasets to identify trends, patterns, and actionable insights
Provide recommendations regarding analytical methods, statistical models, and data-driven solutions
Support data preparation, transformation, modeling, and visualization activities
Collaborate with stakeholders, technical teams, and leadership to define analytical requirements and support program objectives
Support development of dashboards, reports, technical documentation, and analytical deliverables
Provide guidance on data quality, analytical methodologies, and data science best practices
Contribute to modernization and continuous improvement efforts involving data, analytics, automation, and emerging technologies

Requirements

What you’ll need

Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related technical field
Minimum of 10 years of experience in Information Technology, data analytics, data science, or related technical environments
Minimum of 4 years of experience supporting enterprise-scale data, analytics, or technology initiatives
Demonstrated experience performing statistical analysis, predictive modeling, machine learning, or other advanced analytical work
Experience working with large, complex, and/or disparate datasets
Proficiency with data analysis and programming tools such as Python, R, SQL, or similar technologies
Experience with data visualization and communicating analytical findings to technical and non-technical stakeholders
Strong analytical, quantitative, and problem-solving skills
Strong written and verbal communication skills, including the ability to explain complex analytical concepts clearly
Ability to collaborate effectively across technical, business, and program teams in a federal environment
Willingness to undergo the government issued background investigation process

Benefits

Comp & perks

Competitive pay
Comprehensive health coverage
Flexible PTO
Federal holidays off
Tuition reimbursement
Professional development support
Wellness stipends
Flexible work arrangements