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For more than a decade, Karthik Consulting has been a reliable and trusted advisor to our Government customers, providing independent and unbiased recommendations and solutions to mitigate risk and help solve IT issues. We bring the innovation, passion, and agility of the commercial sector to meet the unique challenges of this competitive space. Karthik Consulting is seeking Data Scientist / AI-ML Analyst with the below skillset. Data Scientist / AI-ML Analyst
Fulltime with Karthik Consulting
Location: Washington, DC
Clearance: TS/SCI Program Description POSITION SUMMARY The Data Scientist / AI-ML Analyst provides predictive analytics, forecasting, degradation assessment, LLM/model documentation, simulation, and analytic interpretation support for the A2FF ISR Readiness Data Engineering and Dashboard Modernization Support task order. The role develops and refreshes readiness analytics, documents model methods, assumptions, limitations, and simulation results, integrates qualitative and quantitative inputs, and prepares analytic outputs that support GFMBs, senior leader updates, Congressional engagements, and Government review. This position is contingent based on award. PROGRAM CONTEXT PROGRAM DESCRIPTION The A2FF ISR Readiness Data Engineering and Dashboard Modernization Support task order supports HAF/A2 - A2FF Readiness Branch in developing, sustaining, and modernizing ISR readiness analytics and dashboard capabilities. The program includes updated ETL/ELT pipelines, predictive analytics, LLM documentation, dashboard releases, cross-domain deployment packages, data governance artifacts, stakeholder coordination materials, technical documentation, and process improvement recommendations. PROGRAM SCOPE
The program scope includes strategic readiness assessment development, predictive analytics, refreshed model runs, LLM and AI/ML model documentation, simulation outputs, monthly trend and forecasting reports, degradation assessments, GFMB and senior leader analytic products, and Government-ready interpretation of readiness risk and analytic confidence. KEY RESPONSIBILITIES PREDICTIVE ANALYTICS, FORECASTING, AND DEGRADATION ASSESSMENT
• Develop, refresh, and interpret predictive analytic outputs that support ISR readiness assessment, trend analysis, forecasting, degradation assessment, and Government decision support.
• Produce monthly trend analyses, forecasting updates, degradation assessments, and analytic summaries in Word/PDF/PPT formats as required by the PWS and Government direction.
• Identify emerging readiness patterns, outliers, degradation indicators, forecast drivers, and confidence considerations that require Government awareness or follow-on analysis.
• Integrate quantitative readiness data with qualitative mission context, stakeholder input, dashboard outputs, and Government-provided direction to produce documented readiness assessment products. LLM, AI/ML MODEL DOCUMENTATION, AND SIMULATION SUPPORT
• Support updated LLM and predictive AI model outputs using Government-approved methodologies, tools, data sources, assumptions, and review procedures.
• Document model purpose, methodology, input data, processing assumptions, model version, run date, output interpretation, known limitations, validation notes, and Government review status.
• Prepare simulation outputs and scenario summaries that identify tested variables, assumptions, expected results, actual results, readiness implications, and limitations affecting interpretation.
• Maintain model documentation discipline so refreshed model runs, simulation results, and analytic outputs remain explainable, repeatable, auditable, and suitable for Government review. READINESS ASSESSMENT DEVELOPMENT AND ANALYTIC INTERPRETATION
• Develop readiness assessment products that connect source data, analytic logic, qualitative inputs, findings, assumptions, limitations, and recommended follow-up for Government review.
• Translate complex analytic outputs into clear interpretation for GFMBs, senior leader updates, Congressional engagement products, operational planning, and readiness reporting cycles.
• Prepare analytic products that answer what changed, why it matters, what readiness risk may be emerging, what assumptions affect confidence, and what additional Government review may be required.
• Coordinate with ISR Readiness SMEs to ensure model outputs and degradation indicators are interpreted within appropriate mission, MET/METL, MAJCOM, and senior leader reporting context. DATA, ENGINEERING, GOVERNANCE, AND DASHBOARD COORDINATION
• Coordinate with Senior Data Engineers to confirm predictive outputs rely on documented, current, and reliable data feeds, mappings, transformation logic, and ETL/ELT dependencies.
• Coordinate with Data Governance / Quality Analysts to identify data-quality constraints, lineage issues, business-rule impacts, and remediation considerations that may affect analytic confidence.
• Coordinate with Data Visualization / BI Developers to ensure dashboard views and analytic visualizations reflect approved model outputs, trend findings, degradation indicators, and limitations.
• Provide analytic inputs to data-quality assessment reports, process improvement recommendations, stakeholder engagement materials, decision-support products, and Monthly Status Report inputs. ROLE-SPECIFIC DELIVERABLE OWNERSHIP
• Own role-level inputs for predictive analytic outputs, trend and forecasting reports, degradation assessments, readiness assessment products, model documentation, simulation summaries, and analytic interpretation materials.
• Review analytic products for requirement alignment, source-data traceability, assumption clarity, model documentation completeness, confidence considerations, format compliance, and consistency with Government direction.
• Operate in accordance with classified-environment requirements, DD Form 254 direction, Government-approved tools, repositories, approved methodologies, and non-personal services boundaries.
• Maintain focus on predictive analytics, forecasting, model documentation, simulation results, degradation assessment, and analytic interpretation; this role does not approve Government methodologies, establish readiness policy, or make final Government readiness determinations. QUALIFICATIONS EDUCATION
Bachelor's degree preferred in Data Science, Statistics, Mathematics, Computer Science, Artificial Intelligence, Machine Learning, Operations Research, Information Technology, Systems Engineering, Cybersecurity, or a STEM-related field. Equivalent senior-level DoD, IC, data science, predictive analytics, AI/ML, or mission analytics experience may substitute. PROFESSIONAL CERTIFICATIONS
Preferred: Security+ CE or equivalent DoD 8140/8570 foundational certification when required for access or privileged environments. AI/ML, data science, analytics, cloud data, or model operations certifications preferred, such as Microsoft Azure AI/Data, AWS Machine Learning, Google Professional ML Engineer, Databricks, SAS, TensorFlow, or equivalent. PMI-CPMAI, Agile, SAFe, Scrum, DataOps, MLOps/ModelOps, Responsible AI, Lean Six Sigma, or analytics lifecycle certification preferred where relevant to predictive analytics delivery and model documentation. MINIMUM QUALIFICATIONS • Active TS/SCI clearance.
• 7+ years of data science, AI/ML, predictive analytics, forecasting, modeling, statistical analysis, operational analytics, or mission analytics experience, preferably in DoD, IC, Air Force, ISR, or classified environments.
• Experience developing, refreshing, documenting, and interpreting predictive analytic outputs, forecasting products, degradation assessments, simulation results, or model-based decision-support products.
• Experience documenting model purpose, methodology, data inputs, assumptions, limitations, validation notes, version history, simulation context, and review status.
• Experience integrating quantitative data with qualitative mission context to produce analytic assessments, decision-support products, senior leader briefings, or operational reporting outputs.
• Strong understanding of statistical analysis, forecasting, model evaluation, data quality, analytic confidence, scenario analysis, model limitations, and responsible use of AI-enabled analytics.
• Experience working with data engineers, dashboard developers, data governance analysts, mission SMEs, and Government stakeholders to convert technical analytic outputs into Government-ready products.
• Strong written and verbal communication skills with the ability to explain complex analytic findings, assumptions, model limitations, and readiness implications to technical and non-technical audiences. PREFERRED QUALIFICATIONS Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, Artificial Intelligence, Machine Learning, Operations Research, Information Technology, Systems Engineering, Cybersecurity, or a STEM-related field.
Experience supporting HAF/A2, AF A2/6, AF IC, MAJCOM, Combatant Command, OSD, Joint Staff, ODNI, or other DoD/IC headquarters-level mission environments.
Familiarity with ISR readiness, readiness reporting, DRRS, DEERS, Envision, ASERT, MET/METL support, GFMB reporting, senior leader analytics, or similar readiness/data systems.
Experience applying NIST AI Risk Management Framework, DoD Responsible AI principles, CRISP-DM, MLOps/ModelOps, DataOps, or similar practices to AI/ML and predictive analytics work.
Experience with Python, R, SQL, notebooks, statistical modeling, machine learning frameworks, LLM-enabled analysis, simulation techniques, data visualization tools, and Government-approved analytic environments.
Ability to operate effectively in stakeholder-heavy, deadline-driven environments where analytic credibility, model transparency, documentation discipline, and Government decision authority are critical to mission execution. CORE COMPETENCIES Behavioral expectations for performance ACCOUNTABILITY