Job Url: https://www.remoterocketship.com/company/workhuman-3/jobs/people-data-scientist-united-states-remote Job Description: Workhuman Website LinkedIn All Job Openings Founded in 1999, Workhuman has been committed to building human workplaces that recognize the value and potential of every employee. Today, we help HR and business leaders from some of the world’s biggest organizations like LinkedIn, Cisco, Eaton, Whirlpool, and Intuit build human connections on a global scale to drive ROI. Positive employee experiences are no longer a nice-to-have they are a business imperative. saas • human resources • human capital management • future of work • performance management 1001 - 5000 employees 💰 Secondary Market on 2020-06 People Data Scientist 11 hours ago 🍂 Massachusetts – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 📊 Data Scientist Apply Now Receive Emails with Similar Jobs Report problem 📋 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