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Workforce Data Scientist Jobs (NOW HIRING)

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Provide onboarding, training, and ongoing support to build a data-literate workforce Required ...

Zantech

Data Scientist

Arlington, VA · On-site

The Data Scientist will play a crucial role in providing: * Data Acquisition, Analytics, and ... Provide onboarding, training, and ongoing support to build a data-literate workforce Required ...

Lennar

Sr Data Scientist, People Analytics

Miami, FL · On-site

Handle sensitive workforce and compensation data with discretion. Requirements * Bachelor's degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with ...

Lennar

Sr Data Scientist, People Analytics

Houston, TX · On-site

Handle sensitive workforce and compensation data with discretion. Requirements * Bachelor's degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with ...

LTL Lennar Homes of TX L&C LTD

NY · On-site

Handle sensitive workforce and compensation data with discretion. Requirements * Bachelor's degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with ...

Lennar

Sr Data Scientist, People Analytics

Miami, FL · On-site

Handle sensitive workforce and compensation data with discretion. Requirements * Bachelor's degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with ...

Lennar

Sr Data Scientist, People Analytics

Austin, TX · On-site

Handle sensitive workforce and compensation data with discretion. Requirements * Bachelor's degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with ...

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

Forecasting trends to identify workforce risks and opportunities * Survival analysis for tenure and ... Bachelor's degree in Statistics, Data Science, Computer Science, Data Analytics or a related field ...

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

Forecasting trends to identify workforce risks and opportunities * Survival analysis for tenure and ... Bachelor's degree in Statistics, Data Science, Computer Science, Data Analytics or a related field ...

Sandisk

Sr. People Data Scientist

Milpitas, CA · On-site

$116K - $198K/yr

Forecasting trends to identify workforce risks and opportunities * Survival analysis for tenure and ... Bachelor's degree in Statistics, Data Science, Computer Science, Data Analytics or a related field ...

MANTECH

Data Scientist

Fort George G Meade, MD

Conduct assessments of clients' preparedness to integrate data analytics into their operations, including technical, cultural, and workforce aspects. * Apply expert knowledge in data science to ...

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Workforce Data Scientist information

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How much do workforce data scientist jobs pay per year?

As of Sep 13, 2026, the average yearly pay for workforce data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What are popular job titles related to Workforce Data Scientist jobs?

For Workforce Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Workforce Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Arlington, VA • On-site

Zantech
IT Services • 51 - 200 employees
Learn more about Zantechexternal

Full-time

PTO

Re-posted 20 hours ago

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!

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