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 …
Are you looking for your next challenge? Are you ready to work with a performance-based small company? At Zantech, we are a dynamic Woman Owned Small Business focused on providing complex, mission-focused solutions with …
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Job Title: Quality Assurance Manager Job Category: Engineering and Technical Support Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular Percentage of Travel Required: Up to 10% Type o…
Senior Workday Payroll Analyst, CoStar Group – Arlington, VA
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Senior Workday Payroll Analyst, CoStar Group – Arlington, VA
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The Data Scientist will lead the strategy, design, and deployment of advanced AI/ML models to provide actionable insights for workforce and operational decision-making. They are responsible for managing the MLOps lifecycle, ensuring compliance with Responsible AI governance, and providing technical leadership for data acquisition and analytics projects.
Requirements
Candidates must possess over 10 years of experience in data science, statistical analysis, and developing analytical models within a DoD or similar organization. A Master's degree in a quantitative field is required, along with US citizenship and the ability to obtain a Secret security clearance.
Full job description
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!
Related keywords
Data ScientistAI/MLPythonRSQLNLPTableauPower BIMLOpsData GovernanceNIST SP 800-53FISMADoD RMFPredictive ModelingNetwork AnalysisBibliometric Analysis
Zantech delivers advanced technology solutions to US Government agencies, specializing in digital modernization, cybersecurity, and cloud computing for mission-critical operations across defense, intelligence, and civilian sectors.
Founded in 2007 by Zia Islam and now a Women-Owned Small Business (WOSB), we've evolved from an 8(a) company into a premier Federal Technology partner executing 150+ prime contracts with DoD, DHS, State Department, NASA, and other agencies.
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🔷 WHAT WE DO
We transform federal technology through:
▪️ Cybersecurity: Zero Trust architectures, AI-powered threat detection, 40% risk reduction
▪️ Cloud Solutions: Assessment, migration, optimization delivering 100% uptime
▪️ Digital Transformation: AI/ML integration, enterprise modernization, agile development
▪️ Mission Support: Program management, technical advisory, systems engineering
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🔷 OUR EXPERTISE
With CMMI Level 3 certification and deep federal domain knowledge, we ensure agencies stay ahead of evolving challenges. Our cleared professionals leverage cutting-edge technologies—from NIST frameworks to advanced automation—delivering projects ahead of schedule and under budget.
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🔷 WHY PARTNER WITH ZANTECH
✓ Proven track record with 25+ federal agencies
✓ Extensive contract vehicles (GWACs/IDIQs) for rapid engagement
✓ Agility of a growing company with enterprise-level capabilities
✓ Women-owned perspective bringing innovation and diversity
Led by President & CEO Naz Islam, our team combines visionary founding principles with operational excellence, creating a culture where outstanding performance is standard, not exception.
🎯 Outstanding Performance…Always!
Ready to transform your mission-critical operations? Let's connect.
Offices: 1902 Campus Commons Dr, Suite 305, Reston, Virginia 20191, US
Based on 925 listings with disclosed salaries, most software jobs in Arlington, VA pay between $90k–$208k per year. Individual offers vary with seniority, company size, and specialization.
How many Software jobs are open in Arlington, VA right now?
There are currently 1,189 open software positions in Arlington, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Software roles in Arlington, VA?
Companies currently hiring include Amazon, CoStar Group, Booz Allen Hamilton, Accenture Federal Services, CACI International Inc, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Software jobs in Arlington, VA?
Yes — 469 of the 1189 open software positions offer remote or hybrid work (118 remote, 351 hybrid).
How do I apply for Software jobs in Arlington, VA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.