Behavioral Science Specialist

Position Summary:

The Behavioral Scientist will apply advanced behavioral science psychometrics and quantitative and qualitative research methods to design analyze and interpret complex talent and employee experience data. The role is responsible for developing scientifically rigorous insights that inform strategic talent decisions workforce interventions and organizational effectiveness initiatives. This position requires deep expertise in organizational research methodology predictive and prescriptive modeling and statistical programming. The Behavioral Scientist partners closely with Talent Insights and Analytics Employee Listening and senior Talent stakeholders to translate research findings into practical evidence based recommendations. The role contributes to advancing the firms analytical maturity by embedding strong scientific standards scalable methodologies and advanced modeling approaches into talent analytics and decision making.

Essential Functions of the Job:

• Design and conduct applied organizational research using robust quantitative methodologies including experimental quasiexperimental and longitudinal designs.
• Lead advanced analysis of employee listening experience and talent data using statistical programming languages (SQL R and/or Python).
• Apply advanced predictive and prescriptive modeling techniques (e.g. regression multilevel models machine learning optimization approaches) to address complex talent and workforce questions.
• Develop and validate psychometric models including scale development factor analysis reliability and validity assessment and measurement invariance testing.
• Integrate multiple data sources (survey experience talent and operational data) to generate holistic and scientifically defensible insights.
• Translate complex analytical and research outputs into clear narratives recommendations and decisionsupport materials for senior Talent and business stakeholders.
• Support the design and evaluation of talent interventions by defining success metrics analytic approaches and evidence thresholds.
• Contribute to the development of standardized research and analytics frameworks ensuring consistency rigor and scalability across Talent Insights and Analytics.
• Partner with Talent IT data engineering teams and external vendors to ensure appropriate data structures access and analytical readiness.
• Monitor emerging research analytical techniques and best practices in behavioral science psychometrics and people analytics to continuously enhance internal capabilities.

Analytical/Decision Making Responsibilities:

• Apply expert judgment in selecting appropriate research designs statistical methods and modeling approaches based on business context and data constraints.
• Make recommendations on analytic strategies modeling techniques and interpretation standards to ensure scientific rigor and decision relevance.
• Evaluate the strength of evidence supporting findings and clearly communicate limitations assumptions and confidence levels.
• Support decisions related to prioritization design and continuous improvement of Talent Insights and Analytics research and modeling initiatives.
• Influence stakeholder decisionmaking by synthesizing data research findings and behavioral science principles into actionable guidance.

Knowledge and Skills Requirements:

• Deep expertise in behavioral science with strong grounding in Industrial and Organizational Psychology or a closely related discipline.
• Advanced knowledge of organizational research methodology including experimental design causal inference and applied statistical modeling.
• Strong command of psychometrics including scale construction validation and measurement theory.
• Advanced analytical skills using SQL R and/or Python for data extraction manipulation modeling and analysis.
• Demonstrated expertise in predictive and prescriptive analytics including advanced statistical and machine learning techniques.
• Strong data storytelling and visualization skills to communicate complex findings effectively to nontechnical audiences.
• Strong business acumen and ability to contextualize research insights within broader talent and organizational strategies.
• Ability to operate independently on complex analytical problems while collaborating effectively in crossfunctional global teams.
• High tolerance for ambiguity and ability to apply scientific rigor in fastpaced evolving environments.
• Strong written and verbal communication skills with a global and culturally aware mindset.

Supervision Responsibilities:

• Act as a subject matter expert and thought partner within Talent Insights and Analytics.
• Provide informal coaching and technical guidance to colleagues on research design analytics and interpretation.
• Collaborate closely with crossfunctional teams to ensure analytical quality consistency and impact.
• Build trusted relationships through credibility rigor and constructive challenge.
• Ability to develop people skills in coaching mentoring and learning on the job
• Effectiveness in building trust respect and cooperation among teams

Other Requirements:

• Due to the global nature of the role flexibility to work alternative hours may be required.
• Excellent written and verbal English communication skills are required.

Job Requirements:

Education:

• Ph.D. strongly preferred in Industrial and Organizational Psychology Organizational Psychology Behavioural Science Statistics or a closely related quantitative discipline.
• Masters degree with significant applied research experience may be considered.

Certification Requirements:

• Professional certifications or active engagement in relevant professional or academic communities preferred but not required.

Experience:

• Demonstrated experience conducting applied organizational research in a business consulting or applied research environment.
• Experience applying advanced statistical predictive and prescriptive modeling techniques to realworld organizational problems.
• Handson experience with psychometric analysis and measurement development in organizational contexts.
• Experience working with largescale employee listening or experience datasets.
• Proven ability to translate complex research findings into practical businessrelevant insights.
• Experience collaborating with Talent HR or People teams to shape evidencebased decisions.
• Experience working in global matrixed and fastpaced environments.
• Experience partnering with data engineering teams or external vendors to enable advanced analytics.