Senior People Analytics Data Scientist

MITRE; McLean (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

MITRE is seeking an HR Data Scientist to develop analytical solutions that transform HR data into actionable insights across workforce analytics. You will design data pipelines, harmonize data from multiple HR systems, and build standardized definitions and metrics while collaborating with HR, IT, and business leaders.

You will apply statistical analyses, machine learning, and data science techniques to diagnose, predict, and prescribe workforce outcomes, advancing people analytics initiatives

Qualifications

• 8+ years of related experience with a Bachelor's degree, or 6 years with a Master's, or a PhD with 3 years' experience.
• Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology, or a related quantitative field
• 5+ years of experience in data science, people analytics, workforce analytics, or a related quantitative analytics role.
• Experience developing, validating, and deploying statistical and predictive models using Python, SQL, and machine learning techniques.
• Experience preparing, integrating, and transforming complex datasets, with familiarity in ETL/ELT pipelines, analytical data modeling, and workflow automation.
• Experience leveraging Workday HCM and integrating data across multiple HR systems to develop analytical data models that support advanced workforce analytics and reporting.
• Experience collaborating with data engineering, technology, and data governance teams to improve HR data quality, standards, documentation, and enterprise analytics capabilities.
• Demonstrated experience automating reporting processes and improving operational efficiencies.
• This position requires a minimum of 4 days a week on-site.

Responsibilities

• Develop statistical analyses and progressively more advanced analytical models that support the organization's evolution from descriptive to diagnostic and predictive workforce analytics.
• Develop reusable analytical assets, datasets, and models that enable scalable self-service analytics and decision support.
• Develop predictive and statistical models to answer complex workforce questions.
• Apply machine learning, causal inference, and other analytical techniques where appropriate.
• Partner with HR, business leaders, and People Analytics colleagues to frame ambiguous questions into analytical approaches.
• Use Python, SQL, and modern data science techniques to investigate workforce challenges.
• Build reusable datasets, feature engineering pipelines, and analytical data models.
• Improve the quality, reliability, and accessibility of people data.
• Automate recurring analyses and data preparation processes.
• Validate analytical models and communicate assumptions, limitations, and results to ensure reliable, actionable business insights.
• Collaborate with data engineering teams to improve data architecture and governance.
• Evaluate emerging AI and analytical techniques for People Analytics applications.
• Develop and maintain standardized HR data definitions, business rules, calculation methodologies, metadata, and data dictionaries to improve the quality, consistency, governance, and trustworthiness of workforce analytics.
• Collaborate with HR Centers of Excellence to translate business requirements into sustainable data and analytics solutions

Skills

Data science

Statistics

Python

SQL

Machine learning

Analytics

Problem solving

Stakeholder mgmt

Education

Bachelor's degree in Data Science/Statistics/CS/Math

Tools

Power BI

Tableau

Snowflake

Databricks

Azure

AWS

Workday HCM

Job description

MITRE is seeking an HR Data Scientist to develop analytical solutions that transform HR data into actionable insights across workforce analytics. You will design data pipelines, harmonize data from multiple HR systems, and build standardized definitions and metrics while collaborating with HR, IT, and business leaders.

You will apply statistical analyses, machine learning, and data science techniques to diagnose, predict, and prescribe workforce outcomes, advancing people analytics initiatives