Sr. Data Scientist (5603) (TS/SCI) (Ft. Meade, MD)

Sr. Data ScientistSMX is seeking a Senior Data Scientist to mine and analyze PRESS knowledge?management data, build real?time ACIC executive dashboards, and develop automated ETL/ELT pipelines that measure and forecast DI analytical production and workforce resourcing. The data scientist will also collaborate with Directorate leadership to define KPIs, translate complex statistical models into clear executive decision aids, and maintain strict data integrity and governance across all reporting pipelines.This position will require 3-6 month embed at DIA HQ (JBAB, Washington, D.C.) followed by primary duty at ACIC (Ft. Meade, MD) with recurring DIA HQ support as required.Essential Duties & ResponsibilitiesLeverage PRESS knowledge management, metadata store, and production data to establish ACIC dashboards and quantitatively and qualitatively capture and evaluate DI analytic efforts and associated resourcing.Duty Locations & Schedule: Initial 3 to 6-month embed at DIA HQ (JBAB, Washington, D.C.); followed by primary duty at ACIC (Fort Meade, MD) with recurring DIA HQ support as required.Mine and analyze PRESS knowledge management data, metadata stores, and production logs to build real-time ACIC executive dashboardsQuantitatively and qualitatively measure, evaluate, and forecast DI analytical production throughput, workforce resourcing, and effort allocationBuild automated ETL/ELT pipelines to ingest, clean, and validate data from disparate production systemsCollaborate with Directorate leadership and intelligence analysts to formulate key operational performance indicators (KPIs) and analytical metricsTranslate complex statistical models and data patterns into clear executive briefings, visual stories, and actionable decision aidsMaintain strict data integrity, auditability, and governance across all reporting pipelinesRequired Skills, Experience & EducationSecurity Clearance: TS/SCI (Polygraph eligible / must submit if requested)Education: Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related quantitative fieldExperience Required: 5+ years in Data Science, Analytics Engineering, or Enterprise Data Architecture rolesAdvanced programming in Python and/or R for data wrangling, statistical modeling, machine learning, and natural language processing (NLP)Advanced SQL capabilities for querying, transforming, and extracting data from enterprise relational databases, data lakes, and metadata storesMastery of enterprise business intelligence (BI) platforms: Tableau, Power BI, or QlikStrong foundation in metadata management, data catalogs, data lineage tracking, and knowledge management governanceExperience integrating with backend APIs from project tracking tools (Jira, Git, ServiceNow) to pull operational metricsApplication Deadline: November 30, 2026The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.The proposed salary for this position is:$190,000 - $215,000 USDSMX is an Equal Opportunity employer including disabilities and veterans.Selected applicant may be subject to a background investigation and/or education verification.SMX does not sponsor a new applicant for employment authorization or immigration related support for this position.