Data Scientist, Psychometrics

Colorado Psychiatric; Minnesota; Hybrid; USD 120,000 - 170,000; Full time

Job summary

SKS Consulting Group seeks a doctoral-level psychologist or quantitative scientist to own assessment science initiatives, including psychometrics, scale development, and validation. You will build data workflows, dashboards, and recurring insights for leaders and internal consultants.

Focus areas include reliability analyses, item response theory, and communicating complex results to both technical and nontechnical audiences, while maintaining rigorous data governance and documentation.

Qualifications

• PhD in I/O Psychology, Psychometrics, Data Science, Statistics, or related quantitative field.
• Experience with classical test theory and item response theory approaches to scale validation.
• Experience applying advanced statistics to real-world business questions.
• Proficiency in R or Python.
• Strong working knowledge of SQL and experience cleaning, integrating, and quality-checking large complex datasets.
• Ability to tell a clear story through data visualization.
• Comfort navigating ambiguity and collaborating with stakeholders who have varied priorities.
• Excellent written and verbal communication and strong attention to detail.

Responsibilities

• Support the design, testing, and refinement of assessment tools with reliability and validity analyses.
• Build clean, reliable datasets and workflows powering analytics and dashboards.
• Turn assessment, behavioral, and organizational data into actionable insights for leaders.
• Translate technical findings into clear narratives for technical and nontechnical audiences.
• Maintain documentation and promote responsible data practices.

Skills

Psychometrics

Data science

R / Python

SQL

Data visualization

Storytelling with data

Stakeholder collaboration

Education

PhD in I/O Psychology / Psychometrics / Data Science

Tools

R

Python

SQL

Power BI

Job description

SKS Consulting Group is rapidly growing and looking for a doctorallevel psychologist or quantitative scientist who embodies a sense of ownership, attention to detail, and commitment to a highly service-oriented professional services firm. The successful candidate must bring an advanced depth in Assessment science: psychometrics, scale development, item generation, validation, norming, item analysis, differential item and test functioning analysis, and building technical documentation around such.

If you enjoy solving meaningful problems, working with a small yet collaborative team, building scalable tools, and translating data into stories leaders can act on, this position offers variety, autonomy, and real impact. This role sits at the intersection of science, technology, and leadership and helps our internal SKS consultants and clients make confident, evidencebased talent decisions.

JOB FUNCTION

• Assessment science & research: Support the design, testing, and refinement of assessment tools. Conduct reliability, validity, and predictive analyses that strengthen how we measure leadership through cognitive and non-cognitive traits.
• Data products & automation: Help build clean, reliable datasets and workflows that power our analytics. Contribute to dashboards, automated reports, and repeatable processes that make our work scalable.
• Applied analytics: Turn assessment, behavioral, and organizational data into insights leaders can use. Produce recurring reports and support new research initiatives.
• Communication & partnership: Work closely with internal consultants, account managers, and external technology partners. Translate technical findings into clear, practical narratives for both technical and nontechnical audiences.
• Quality & responsible data practices: Maintain strong documentation, protect sensitive/confidential information, and contribute to thoughtful, responsible uses of emerging analytical methods.

Other duties as required.

Required

• PhD in I/O Psychology, Psychometrics, Data Science, Statistics, or a related quantitative field.
• Experience with classical test theory and item response theory approaches to scale validation.
• Experience applying advanced statistics to realworld business questions.
• Proficiency in R or Python.
• Strong working knowledge of SQL and experience cleaning, integrating, and quality-checking large complex datasets.
• Ability to tell a clear story through data visualization.
• Comfort navigating ambiguity and collaborating with stakeholders who have varied priorities.
• Excellent written and verbal communication and strong attention to detail.

Preferred

• Experience in consulting or another client-service environment.
• Experience with forced-choice measurement models, latent profile analysis, machine learning, natural language processing, and/or scoring of unstructured data.
• Subject matter expertise in personality, cognitive ability, or teams.
• Experience with Power BI, Power Automate, Microsoft 365, Dynamics 365, Azure SQL, SharePoint, and/or assessment-platform integrations.
• Experience developing reusable client-facing analytical products or presentation-quality applied research.
• Experience in the ethical application of AI/LLM to people analytics.