SMX 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 & Responsibilities
- Leverage 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 dashboards
- Quantitatively and qualitatively measure, evaluate, and forecast DI analytical production throughput, workforce resourcing, and effort allocation
- Build automated ETL/ELT pipelines to ingest, clean, and validate data from disparate production systems
- Collaborate with Directorate leadership and intelligence analysts to formulate key operational performance indicators (KPIs) and analytical metrics
- Translate complex statistical models and data patterns into clear executive briefings, visual stories, and actionable decision aids
- Maintain strict data integrity, auditability, and governance across all reporting pipelines
Required Skills, Experience & Education
- Security 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 field
- Experience Required: 5+ years in Data Science, Analytics Engineering, or Enterprise Data Architecture roles
- Advanced 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 stores
- Mastery of enterprise business intelligence (BI) platforms: Tableau, Power BI, or Qlik
- Strong foundation in metadata management, data catalogs, data lineage tracking, and knowledge management governance
- Experience integrating with backend APIs from project tracking tools (Jira, Git, ServiceNow) to pull operational metrics
Application Deadline: November 30, 2026
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The 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.
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX 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 (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Skills Required
- TS/SCI security clearance; polygraph eligible and must submit if requested
- Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related quantitative field
- 5+ years of experience in Data Science, Analytics Engineering, or Enterprise Data Architecture
- Advanced programming proficiency in Python and/or R for data wrangling, statistical modeling, machine learning, and NLP
- Advanced SQL capabilities for querying, transforming, and extracting enterprise data
- Mastery of Tableau, Power BI, or Qlik
- Experience with metadata management, data catalogs, data lineage tracking, and knowledge-management governance
- Experience integrating backend APIs from Jira, Git, and ServiceNow
SMX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SMX and has not been reviewed or approved by SMX.
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Fair & Transparent Compensation — Salary ranges are publicly listed on many postings and a pay transparency statement clarifies how location, contract, and credentials influence offers. This visibility helps set clear expectations around compensation.
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Leave & Time Off Breadth — About four weeks of PTO plus 11 paid federal holidays are highlighted in careers materials. Paid military leave on some roles further expands time‑off coverage.
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Retirement Support — A 401(k) with a dollar‑for‑dollar match on the first 5% and immediate vesting is called out in role descriptions. Traditional and Roth options support long‑term savings.
SMX Insights
What We Do
SMX is a global technology and advanced engineering provider specializing in Cloud Solutions, C5ISR, and Advanced Engineering / IT. Our tradition of delivering innovative, technical solutions dates back to 1995, however, you may know us better by one of our legacy company names: Trident Technologies, Smartronix, Datastrong, or C2S Consulting Group. With the support of OceanSound Partners, our private equity investment sponsor, we began operating as one business starting in 2019 and became SMX in 2021. We operate in close proximity to our clients around the globe and have core locations in Alabama, California, the DC Metro, Florida, Hawaii, Maryland, and Massachusetts. Today, as SMX, we are one team and together empower government and commercial enterprises to become more effective, innovative, and resilient, no matter what challenges they face. SMX offers competitive benefits, excellent work environments, and growth opportunities for our employees while continuing to expand operations and support our communities. We have more than 25 years of rapid and consistent growth with continuous recognition as an employer-of-choice technology company. In addition, we have earned coveted industry quality and business certifications; have a strong commitment to business partnerships, ethics, compliance, and sustainability; and have a multitude of premier contracting vehicles. The combination of these attributes allows us to provide sound, repeatable business solutions yet remain flexible and agile to quickly adapt to specific customer requirements. Committed to ensuring the highest levels of customer satisfaction, SMX is structured around the programs and technologies we support to provide optimal and seamless operations. We have maintained a reputation for excellence, helping to assure the missions of our Department of Defense, Public Sector, Fortune 1000, and other Government and commercial customers.
