Data Scientist

Zantech; Virginia; On-site; USD 130,000 - 170,000; Full time

Job summary

Zantech is seeking a Data Scientist for an on-site role in Arlington, VA, to lead advanced analytical and AI/ML initiatives for our Technical Infrastructure and Platform Support project.

You will own the strategy, design, and deployment of models, transforming multi-source data into actionable insights for workforce, logistics, and operations leadership. Strong governance and MLOps practices are required.

Qualifications

• 10+ years in developing and deploying analytical models for DoW/S&T requirements.
• 10 years in data science using Python, R, and SQL.
• 10 years wrangling data and building batch/streaming pipelines; NLP/network/bibliometric analyses on S&T data (2+ projects).
• 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.
• Statistical analysis and predictive/prescriptive/descriptive/cognitive modeling; ML/AI model development and MLOps lifecycle management.
• NLP, network analysis, bibliometric analysis of S&T data; data visualization and stakeholder communication.

Responsibilities

• Design, develop, and deploy predictive, prescriptive, descriptive, and cognitive AI/ML models and dashboards 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 governance and security controls.
• Provide onboarding, training, and ongoing support to build a data-literate workforce.

Skills

Python

R

SQL

ML/AI modeling

MLOps

NLP

Data visualization

NIST RMF

Tableau

Security governance

Education

Master's in CS/Engineering

BA/BS with 12+ years experience

Tools

Tableau

Power BI

Matplotlib

Job description

• Data Scientist

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:

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!