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People Data Scientist

Workhuman

Salary not specified
Aug 19, 2025
Framingham, MA, US
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Workhuman is looking to solve the problem of how organizations understand and elevate the human experience at work by leveraging people-centric data and analytics to transform recognition, language, and trend data into powerful, actionable insights.

Requirements

  • Proficiency in SQL, Python, and/or R for data manipulation, statistical analysis, and model development
  • Experience with visualization tools like Quicksight, Tableau, Looker, or Power BI
  • Hands-on experience with machine learning techniques (supervised/unsupervised learning, predictive modeling, classification) and exposure to large language models (LLMs) for text analysis and natural language processing applications
  • Proficiency in statistical modeling, experimental design, A/B testing, and causal inference methods applied to organizational and behavioral data
  • Understanding of organizational psychology principles, employee motivation theories, workplace behavior patterns, and HR metrics
  • Experience with advanced analytics, including predictive modeling and data mining
  • Familiarity with cloud-based data platforms and tools

Responsibilities

  • Apply statistical, machine learning, or I/O psychology methods to uncover actionable insights from complex organizational datasets
  • Build and deploy machine learning models, experiment with LLMs for organizational text analysis, or develop novel analytical approaches using Python/R in production environments
  • Develop clear and compelling data visualizations and dashboards that simplify complex findings for diverse stakeholders
  • Contribute to interdisciplinary projects where advanced analytics, combined with social science principles, drive measurable organizational outcomes
  • Experiment with cutting-edge methods, including deep learning, transformer models, advanced NLP techniques, and emerging AI technologies applied to organizational data
  • Translate complex data into compelling stories for technical and non-technical audiences
  • Collaborate with cross-functional teams spanning data science, HR, Product & Engineering, and Sales & Marketing

Other

  • Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Human Resources, Social Sciences (Psychology, Sociology, Anthropology), Statistics, Data Science, or related field is preferred
  • Background in internal or external consulting roles preferred
  • Demonstrated ability to translate analytical findings into strategic recommendations to non-technical audience
  • Strong interpersonal abilities to thrive in cross-functional teams
  • Commitment to producing high-quality, accurate work that meets consulting standards