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**This is a remote position based in the US
**Applicants must have valid permanent work authorization in the U.S. (e.g. U.S. citizen permanent resident). We are unable to offer visa sponsorship for this role.
The Opportunity
As a People Data Scientist on the Workhuman iQ team youll join a vibrant mission-driven analytics team where your work directly shapes how organizations recognize and support their people. Youll be immersed in an interdisciplinary environmentteaming up with industrial-organizational (I/O) psychologists data scientists and NLP expertsto transform recognition language and trend data into powerful actionable insights. Built-in experimentation and innovation mean youll continuously explore new analytical approaches and storytelling methods while contributing to thought leadership in the people analytics space. If youre 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.
What We Can Offer You
At Workhuman you wont just crunch numbers youll help reinvent how companies understand and elevate the human experience at work. Heres 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 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.
The Skills You Will Bring
Youre 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. 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 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.
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 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
Were 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 complex 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 complex findings for diverse stakeholders.
Cross-functional collaboration: Contributing to interdisciplinary projects where advanced analytics combined with social science principles drove measurable organizational outcomes.
Continuous learning: Demonstrating growth in technical expertise through experimentation with new tools methodologies (including AI/ML techniques) and I/O psychology research.
Thank you for considering joining our team. We strive to create an inclusive and accessible application process for all candidates. If you encounter any difficulties or have specific accessibility requirements while applying for this position please dont hesitate to reach out to us atgfor assistance. We are committed to ensuring equal access to opportunities for all individuals.
At Workhuman our mission is to bring more humanity to the workplace. We recognise and embrace individuals differences and believe that workforce diversity and inclusion are essential to our long-term growth and success. Even if you dont think you check every single box above please still consider applying. Were looking for a human who is collaborative and innovative with a growth mindset. We love what we do because were shaping the future of work through our people and our technology. Our human cloud-based applications are helping some of the worlds 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 connection 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 Place 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 inand 2022.
In 2021 we were named as #2 Best Workplace in Europe in the medium 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 Place 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 all 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 origin 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 develop and retain the most talented people from a diverse candidate pool.
Full-Time