Data Scientist
At a glance
Mid-level Data Science role at Zantech. Arlington · full-time · no salary stated · we estimate $113,700–$145,500.
Zantech has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Lead the design and rollout of AI and analytical models, dashboards, and the strategy behind them
- Analyze data from multiple sources to guide leadership decisions on workforce, logistics, and operations
- Use NLP, network analysis, and bibliometrics to examine science and technology portfolio data
- Support MLOps workflows, including model tracking, drift checks, and automated retraining triggers
- Apply governance and access controls to model outputs, then train and support staff using data
What you bring
- At least ten years building and deploying models for science and technology or business needs in a DoW organization
- A master's degree in a relevant discipline with ten years of experience, or a bachelor's degree with twelve years
- Ten years in data science, including Python, R, SQL, statistical analysis, predictive modeling, and algorithm development
- At least five years with cloud or big data analytics, plus operational analytics for workforce, logistics, or readiness missions
- U.S. citizenship and the ability to obtain and keep an active Secret-level or higher clearance
Who this fits
This is a senior technical-lead role for someone with deep data science experience and a background in DoW work. The job is based on-site in Arlington, Virginia, and requires U.S. citizenship and an active Secret-or-higher clearance, or the ability to obtain and maintain one.
From the employer
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!
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