People Data Scientist

Description: • Join a vibrant analytics team at Workhuman iQ to transform recognition, language, and trend data into powerful, actionable insights. • Collaborate with industrial-organizational psychologists, data scientists, and NLP experts to translate data into business outcomes. • Built-in experimentation and storytelling to continuously explore new analytical approaches and publish thought leadership in people analytics. • Work with data spanning recognition activity, employee language, workplace trends, and organizational behavior metrics to shape human experience at work. • Influence millions of employees worldwide by providing insights that drive culture of recognition and belonging. Requirements: • You're a curious problem-solver with a strong analytical foundation, consulting mindset, and a knack for turning complex behavioral and organizational data into clear, actionable insights. • 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. • Communication excellence: Ability to translate complex data into compelling stories for technical and non-technical audiences. • Research and innovation mindset: Curiosity to experiment with cutting-edge methods, including deep learning, transformer models, advanced NLP techniques, and emerging AI technologies applied to organizational data. • Collaboration skills: Strong interpersonal abilities to thrive in cross-functional teams spanning data science, HR, Product & Engineering, and Sales & Marketing. • Educational foundation: Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Human Resources, Social Sciences (Psychology, Sociology, Anthropology), Statistics, Data Science, or related field is preferred. • I/O psychology knowledge: Understanding of organizational psychology principles, employee motivation theories, workplace behavior patterns, and HR metrics is preferred. • Achievements: Advanced degree is preferred and I/O psychology knowledge is helpful. Benefits: • Impact at scale: Your work will touch millions of employees worldwide, influencing how organizations design cultures of recognition and belonging. • Cutting-edge tools and data: Work with rich, real-world datasets that combine recognition activity, employee language, workplace trends, and organizational behavior metrics. • Learning culture: Access continuous learning opportunities to sharpen your skills in statistics, machine learning, natural language processing, and I/O psychology principles. • Collaboration that inspires: Partner with some of the brightest minds in data science, industrial-organizational psychology, HR technology, and product innovation. • Thought leadership platform: Contribute to industry publications, speak at conferences, and shape the future of people analytics through research and insights. • Growth and flexibility: Be part of a team that encourages curiosity, experimentation, and professional development as you build your career in the intersection of data science and organizational psychology. Apply tot his job