Data Scientist, Test Security

American Nurses Association ANA • Silver Spring, MD

13d • Hybrid

About The Position

The American Nurses Enterprise (ANE) is seeking a Data Scientist, Test Security to help safeguard the validity, integrity, and credibility of its certification programs. This role applies data forensics, advanced analytics, and investigative expertise to identify anomalies, assess security risks, and detect emerging trends. The Data Scientist manages the full data lifecycle by gathering, preparing, validating, and analyzing information from multiple systems and sources. In collaboration with cross-functional teams, this position leads initiatives that strengthen test security practices, improve operational processes, and enhance program effectiveness. The role also develops clear, meaningful reports, dashboards, and presentations that translate complex findings into actionable insights for strategic and operational decision-making. Join the American Nurses Enterprise (ANE) and be part of the team building a healthy world through The Power of Nurses™ . Our goals are to (1) Elevate the Profession of Nursing Globally (2) Evolve the Practice of Nursing to Improve Health, Health Care, and Health Equity and (3) Ensure the Professional Success of Nurses. Our core values: Trusted, Inclusive, Innovative and Empowered guide everything we do. We are committed to creating a supportive and dynamic workplace where employees can thrive. We understand the importance of work-life balance and offer flexible work arrangements and generous paid time off. Our modern office spaces are designed to foster collaboration and creativity. The collaborative culture and supportive team environment make ANE a great place to grow your career.

Requirements

• Master’s Degree in Psychometrics, Data Analytics, Business Analytics, Industrial Organizational Psychology, or related field, or an equivalent combination of education and experience.
• 3-5 years data analysis, business intelligence, statistical analysis, or a related analytical role managing large datasets, or related field.
• Experience leading analytical projects from concept through implementation required.
• Strong reporting and data visualization skills required.
• Knowledge of statistical analysis techniques and data validation methodologies
• Experience working with large and complex datasets
• Demonstrated skill in using software packages for data analysis (e.g., R, SPSS, Winsteps)
• Fluency in using office computer software (e.g., Microsoft Word, Excel, PowerPoint)
• Experience with data visualization and reporting tools
• Strong analytical and problem-solving skills
• Attention to detail and commitment to data accuracy
• Ability to identify meaningful trends, patterns, and anomalies within large datasets
• Strong written and verbal communication skills
• Ability to present findings to both technical and non-technical audiences
• Ability to manage multiple projects and competing priorities
• Strong collaboration and relationship-building skills
• Ability to work independently while contributing effectively within cross-functional teams
• Maintains confidentiality and handles sensitive information with discretion
• Commitment to continuous learning and process improvement
• Knowledge of descriptive and inferential statistics

Nice To Haves

• Experience working in high-stakes certification, credentialing, or assessment programs preferred.
• Knowledge of psychometric, assessment, testing, or exam administration data (preferred)

Responsibilities

• Ensures data are accurate, reliable, and actionable to support operational and strategic initiatives.
• Collects, prepares, integrates, and validates data from multiple systems and sources.
• Monitors and maintains data quality standards, identifying and resolving inconsistencies or gaps.
• Performs exploratory and advanced analyses to identify trends, risks, opportunities, and business insights.
• Develops queries, data pipelines, and analytical processes that improve data accessibility and reliability.
• Establishes and maintains documentation related to data sources, definitions, methodologies, and processes.
• Protects the integrity of certification programs through data-driven detection and investigation of security risks.
• Analyzes examination and test taker data to identify patterns, anomalies, and indicators of potential misconduct or security threats.
• Designs and executes data forensic investigations to support test security reviews and incident response activities.
• Develops and refines statistical models, risk indicators, and monitoring methodologies to detect emerging threats.
• Partners with psychometric and test development teams to investigate suspicious testing activity and validate findings.
• Documents methodologies, findings, and recommendations to support decision-making and audit requirements.
• Transforms complex data into meaningful insights that support informed decisions across the organization.
• Develops and maintain recurring and ad hoc reports, dashboards, scorecards, and visualizations.
• Translates complex analytical findings into clear, actionable recommendations tailored to diverse audiences.
• Presents results to technical and non-technical stakeholders, including leadership and cross-functional teams.
• Defines and monitors key performance indicators (KPIs) related to test security, certification operations, and program effectiveness.
• Supports strategic planning and operational decision-making through data-driven insights.
• Leads initiatives that enhance test security capabilities, operational effectiveness, and organizational performance.
• Collaborates across multiple workgroups to identify opportunities for increased efficiency, effectiveness, and risk mitigation.
• Evaluates existing processes and implements data-driven solutions that improve operational outcomes.
• Recommends and supports the adoption of new analytical tools, methodologies, and best practices.
• Maintains awareness of industry trends and advancements, including data analysis techniques and processes.
• Shares findings with the department and applies this knowledge to enhance ANCC operations and inform product development.

Benefits

• 401K retirement contributions of up to 7%
• generous PTO which includes the week-off between Dec 25 and Jan 1, in addition to Personal Days-off
• 11 paid Holidays
• excellent health/medical benefits
• ANE learning and development programs (internally and externally)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level