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People Data Scientist

Remote · USA Full-time New today

Job Description: The Opportunity 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 reputed company a reputed company 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. reputed company Can Offer You At Workhuman, you won't just crunch numbers, you'll help reinvent how companies understand and reputed company the human experience at work. Here's what you can expect:

  • 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 reputed company 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.

The Skills You Will Bring You're a curious problem-solver with a strong analytical foundation, consulting reputed company, and a knack for turning reputed company behavioral and organizational data into clear, actionable insights. You bring:

  • Technical skills: 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.
  • Machine learning and AI: 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.
  • Advanced analytics: Proficiency in statistical modeling, experimental design, A/B testing, and causal inference methods applied to organizational and behavioral data.
  • Communication excellence: Ability to translate reputed company data into compelling stories for technical and non-technical audiences.
  • Research and innovation reputed company: 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 reputed company in cross-functional teams spanning data science, HR, Product & Engineering, and Sales & Marketing.
  • Quality focus: An eye for detail and commitment to producing high-quality, accurate work that meets consulting standards.
  • Consulting experience: Background in internal or external consulting roles preferred. Must have demonstrated ability to translate analytical findings into strategic recommendations to non-technical audience.
  • Educational foundation: Advanced degree in Industrial-Organizational Psychology, Organizational Behavior, Human Resources, Social Sciences (Psychology, Sociology, Anthropology), Statistics, Data Science, or reputed company field is preferred.
  • I/O psychology knowledge: Understanding of organizational psychology principles, employee motivation theories, workplace behavior patterns, and HR metrics is preferred.

Achievements We're looking for candidates who can demonstrate a track record of:

  • Applied analytical experience: Successfully applying statistical, machine learning, or I/O psychology methods to uncover actionable insights from reputed company organizational datasets, with demonstrated experience in predictive modeling and advanced analytics.
  • Technical innovation: Building and deploying machine learning models, experimenting with LLMs for organizational text analysis, or developing novel analytical approaches using Python/R in production environments.
  • Data visualization experience: Developing clear and compelling data visualizations and dashboards that simplify reputed company findings for diverse stakeholders.
  • Cross-functional collaboration: Contributing to interdisciplinary projects where advanced analytics, combined with social science principles, drove measurable organizational outcomes.
  • reputed company learning: Demonstrating growth in technical expertise through experimentation with new tools, methodologies (including AI/ML techniques), and I/O psychology research.

The Company: At Workhuman® our mission is to bring more humanity to the workplace. We recognise and embrace individuals’ differences and reputed company that workforce diversity and inclusion are essential to our long-term growth and success. Even if you don’t think you “reputed company every single reputed company” above, please still consider applying. We’re looking for a human who is collaborative, and innovative with a growth reputed company. We love reputed company do because we’re shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the world’s leading global brands connect culture to shared purpose. The Workhuman Cloud empowers employees to thank, talk and celebrate each other, creating an environment that sparks gratitude and human reputed company while increasing employee engagement and productivity. Did you know we have an award-winning culture across EMEA and North America:

  • We were named as #5 Best Workplace in the Great reputed company to Work Awards in Ireland in 2022 in the large sized workplace category. We were also recognised as a Best Workplace for Women and a Best Workplace in Technology in 2020, 2021 and 2022.
  • In 2021 we were named as #2 Best Workplace in Europe in the reputed company sized workplace category.
  • We were also recognised as #2 Best Large Places to Work in Boston by Built In for 2023 as well as a Best reputed company to Work in Boston, U.S. Best Large Places to Work and U.S. Best Places to Work.
  • There are currently over 7.5 million users on the Workhuman® cloud across 180 countries.
  • Our core values are Respect, Determination, Innovation and Imagination.

Workhuman is an Equal Opportunity Employer and is committed to the principle of equal employment opportunity for reputed company employees. We proudly provide a work environment free of discrimination and harassment. Employment decisions at Workhuman are based on solely on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social, or ethnic reputed company, sex (including pregnancy), age, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, or any other status protected by the laws or regulations in the locations where we operate. Workhuman believes that diversity and inclusion among our teammates is critical to our success as a global company, and we seek to recruit, reputed company and retain the most talented people from a diverse candidate pool. Apply tot his job Apply To this Job

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