Data Scientist

Posted 7 Days Ago
Arlington, VA, USA
In-Office
Expert/Leader
Information Technology
The Role
Technical lead for data acquisition, analytics, governance, and Responsible AI. Design, develop, and deploy predictive/prescriptive/descriptive/cognitive AI/ML models (NLP, network and bibliometric analysis). Implement MLOps (model registry, drift monitoring, automated retraining), enforce RLS/CLS and federal data security frameworks, and provide training and stakeholder-facing dashboards to inform workforce, logistics, and operational decisions.
Summary Generated by Built In

Zantech is looking for a talented Data Scientist to contribute to the success of our upcoming Technical Infrastructure and Platform Support project for an On-Site role based out of Arlington, VA.

The Data Scientist will play a crucial role in providing:

  • Data Acquisition, Analytics, and Governance Services (technical lead for all Task 3 work)
  • Cybersecurity and Information Assurance (Responsible AI / AI TRiSM, RLS/CLS-compliant model outputs)

The Data Scientist serves as the technical lead, owning the strategy, design, and deployment of advanced analytical and AI/ML models. Extracts, transforms, and analyzes complex, multi-source data sets to generate actionable insight that informs workforce, logistics, and operational decision-making for leadership.

Responsibilities include, but will not be limited to:

  • Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and dashboards in collaboration with stakeholders
  • Apply NLP, network analysis, and bibliometric analysis to S&T portfolio data
  • Support automated MLOps lifecycle management, including model registry, drift monitoring, and automated retraining triggers
  • Ensure AI/ML outputs comply with Responsible AI (RAI) governance and inherit Row-Level/Column-Level Security controls
  • Provide onboarding, training, and ongoing support to build a data-literate workforce

Required Experience or Knowledge of the following technologies/functions:

  • Ten (10)+  years developing and deploying analytical models to address S&T or business requirements within a DoW organization
  • 10 years in data science (statistical analysis, predictive modeling, machine learning, algorithm development in Python, R, and SQL)
  • 10 years in data wrangling and batch/streaming pipeline development, integrating structured and unstructured sources; experience on at least 2 distinct projects applying NLP, network analysis, or bibliometric analysis to S&T portfolio data
  • 10 years using data visualization tools (Tableau, Power BI, matplotlib)
  • 5 years with big data and cloud-based analytics platforms
  • 5 years applying operational analytics to workforce, logistics, or readiness missions.
  • Skills Required:
    •  Statistical analysis and predictive/prescriptive/descriptive/cognitive modeling
    • Python, R, SQL; ML/AI model development and MLOps lifecycle management
    • Natural Language Processing (NLP), network analysis, and bibliometric analysis of S&T data
    • Data visualization and stakeholder communication of analytical findings
    • Federal data governance and security frameworks (NIST SP 800-53, FISMA, DoD RMF)

Required Education/Certifications:

  • Education Required:
    • Master's degree in computer science, engineering, or a related discipline, and 10+ years of experience
  • BA/BS with 12+ years of experience is an accepted substitute,
  • Education Preferred:  
    • Master's or Ph.D. in Data Science, Statistics, Computer Science, or a related quantitative field
  • Not specified
  • Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate)
  • Certifications Required:
  • Certifications Preferred:

Required Security Clearance:

  • US Citizenship and the ability to obtain and maintain an active Secret or higher clearance, per contract requirements.

Outstanding Performance…Always!”

Our corporate motto represents our commitment to build long-term relationships with both our clients and our employees by providing the highest quality service in everything we do. We strive for excellence for our clients and for each other. We embrace the opportunity to hire individuals with new talents and fresh perspectives. Zantech offers competitive compensation, strong benefits, and a vacation package, as well as a fast-paced and exciting work environment. Come join our team!

Skills Required

  • 10+ years developing and deploying analytical models addressing S&T or business requirements within a DoD/DoW organization
  • 10 years in data science including statistical analysis, predictive modeling, machine learning, algorithm development using Python, R, and SQL
  • 10 years in data wrangling and batch/streaming pipeline development integrating structured and unstructured sources; at least 2 projects applying NLP, network analysis, or bibliometric analysis to S&T portfolio data
  • 10 years using data visualization tools (Tableau, Power BI, matplotlib)
  • 5 years with big data and cloud-based analytics platforms
  • 5 years applying operational analytics to workforce, logistics, or readiness missions
  • Expertise in statistical analysis and predictive/prescriptive/descriptive/cognitive modeling
  • Experience with ML/AI model development and MLOps lifecycle management (model registry, drift monitoring, automated retraining)
  • Experience with Responsible AI, AI TRiSM, and implementing Row-Level/Column-Level Security for model outputs
  • Knowledge of federal data governance and security frameworks (NIST SP 800-53, FISMA, DoD RMF)
  • Master's degree in computer science, engineering, or related discipline plus 10+ years of experience (BA/BS with 12+ years accepted as substitute)
  • US Citizenship and ability to obtain and maintain an active Secret or higher security clearance
  • Cloud ML/AI platform certification (e.g., AWS Certified Machine Learning - Specialty, Microsoft Certified: Azure AI Engineer Associate)
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The Company
HQ: Tysons Corner, VA
91 Employees
Year Founded: 2007

What We Do

Zantech was founded in 2007, by Zia Islam with the vision of building an organization, highly skilled at developing technology-oriented solutions for information systems requirements, for Federal Government customers. Zantech was created based on high quality standards, integrating lessons learned from GM as well as incorporating CMMI ML3 DEV and Six Sigma methodologies for quality and adaptive agile principles for efficient, timely performance. In this way, Zantech is taking the rigorous methodologies that are used in commercial sectors and applies them to reduce waste while improving accuracy and efficiency in our government contracts. Our focus on continuous process improvement has guided Zantech to ensure that we have consistent, reliable service across all geographic sites while recognizing and meeting the specific requirements. Zantech is one of the fastest-growing IT solutions and business strategy Government Contracting firms. We apply state-of-the-art methodologies to develop total systems solutions that meet mission-critical requirements and develops customer-specific solutions for enterprise information systems. Zantech has successfully executed more than 75 prime contracts with the Department of Defense, Department of Homeland Security, Department of State, NASA, and many other Federal departments and agencies. Zantech provides high quality, cost effective, state-of-the-art holistic solutions to satisfy and exceed customer requirements. Zantech is focused on providing “Outstanding Performance…Always” to our customers.

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