
Workforce Scientist
- Chicago, IL
- Permanent
- Full-time
- Conduct job analyses and persona development using modern, technology‑augmented methods, including NLP techniques to rapidly extract and cluster tasks from job descriptions, interviews, and observational data.
- Design and execute mixed‑methods studies (survey instruments + interviews/observations) to identify task frequency, variability, and criticality for workforce planning.
- Build skills‑based workforce plans that inform short-, medium-, and long-term talent strategies.
- Identify and design AI augmentation opportunities grounded in evidence-based I/O Psychology principles.
- Develop implementation playbooks for integrating AI into workflows, ensuring alignment with governance and risk standards.
- Partner with other data scientists and engineers to develop lightweight integrations (e.g., API-based LLM solutions for HR processes).
- Enhance dashboards, reports, and predictive models for automation, scalability, and usability using tools like Power BI/Tableau and scripting languages (Python/R/SQL).
- Apply data governance and platform integration practices in collaboration with technology teams.
- Act as a bridge between HR, business leaders, and technology teams to prioritize initiatives based on value and feasibility.
- Communicate complex technical concepts in clear, actionable language for non-technical stakeholders.
- Graduate degree in Industrial/Organizational Psychology, Behavioral Economics, Data Science, or related field.
- Proven experience in job analysis and skills-based workforce planning.
- Proficiency in mixed-methods research (survey design, statistical analysis, interviews, focus groups).
- Familiarity with NLP techniques for qualitative data processing and rapid job analysis.
- Strong data literacy and ability to work with structured/unstructured data; experience with Power BI/Tableau and scripting languages (Python/R/SQL).
- Excellent communication and stakeholder engagement skills; ability to influence across HR, business, and technology.
- Knowledge of AI/Model governance frameworks and risk management processes in large highly-regulated financial institutions.
- Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
- Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
- Conducts large-scale analysis of information to discover patterns and trends by combining different modules and algorithms.
- Uses analysis to provide recommendations and advice for business leaders to maintain to maintain market competitiveness.
- Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
- Collaborate together with the product team and partners to understand and provide data-driven decision making, business planning and future roadmap.
- Operates at a group/enterprise-wide level and serves as a specialist resource to senior leaders and stakeholders.
- Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non-routine.
- Implements changes in response to shifting trends.
- Broader work or accountabilities may be assigned as needed.
- Mathematics, statistics & operations research.
- Deep learning.
- Machine learning.
- Trust, bias and ethics.
- Creative thinking.
- Critical thinking.
- Big data.
- Data visualization.
- Computational thinking and programming.
- Data wrangling.
- Data preprocessing.
- Creative reasoning.
- Verbal & written communication skills.
- Analytical and problem solving skills.
- Influence skills.
- Collaboration & team skills; with a focus on cross-group collaboration.
- Able to manage ambiguity.
- Data driven decision making.
- Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
- Seasoned professional with a combination of education, experience and industry knowledge.