People Data Scientist

Workhuman-posted 4 months ago
Mid Level
Framingham, MA
1,001-5,000 employees
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As a People Data Scientist on the Workhuman iQ team, you'll join a vibrant, mission-driven analytics team where your work directly shapes how organizations recognize and support their people. You'll be immersed in an interdisciplinary environment—teaming up with industrial-organizational (I/O) psychologists, data scientists, and NLP experts—to transform recognition, language, and trend data into powerful, actionable insights. Built-in experimentation and innovation mean you'll continuously explore new analytical approaches and storytelling methods while contributing to thought leadership in the people analytics space. If you're passionate about people-centric data, eager to make a tangible impact through consulting-driven insights, and excited to grow your skills in machine learning and analytics, this is your opportunity to contribute meaningfully while advancing your career.

  • Transform recognition, language, and trend data into actionable insights.
  • Collaborate with I/O psychologists, data scientists, and NLP experts.
  • Explore new analytical approaches and storytelling methods.
  • Contribute to thought leadership in the people analytics space.
  • Work with real-world datasets to influence organizational cultures.
  • Proficiency in SQL, Python, and/or R for data manipulation and statistical analysis.
  • Experience with visualization tools like Quicksight, Tableau, Looker, or Power BI.
  • Hands-on experience with machine learning techniques and exposure to large language models.
  • Proficiency in statistical modeling, experimental design, A/B testing, and causal inference methods.
  • Ability to translate complex data into compelling stories for diverse audiences.
  • Strong interpersonal skills for cross-functional collaboration.
  • Background in internal or external consulting roles preferred.
  • Advanced degree in relevant fields such as Industrial-Organizational Psychology or Data Science preferred.
  • Understanding of organizational psychology principles and employee motivation theories.
  • Demonstrated ability to translate analytical findings into strategic recommendations.
  • Experience in building and deploying machine learning models.
  • Experience in developing clear and compelling data visualizations.
  • Continuous learning opportunities in statistics, machine learning, and I/O psychology.
  • Collaboration with experts in data science and HR technology.
  • Opportunities to contribute to industry publications and speak at conferences.
  • A culture that encourages curiosity, experimentation, and professional development.
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