DATA AND BEHAVIORAL SCIENTIST, P3

The Data and Behavioral Scientist position in the CEB Secretariat focuses on developing data- and analytics-driven solutions for Inter-Agency Human Resources matters, including demographics, cost-related topics, and behavioral aspects. The role involves generating and communicating data-driven analyses and insights to support decision-making processes.

Responsibilities

• Works with stakeholders across the CEB organizations to identify opportunities for leveraging data to drive business solutions.
• Develops and implements databases, data collection systems, data analytics and other strategies to optimize statistical efficiency and quality including automation scripts and internal software.
• Applies causal inference and experimental methods such as randomized controlled trials, quasi-experimental designs, and causal modeling of observational data to estimate the impact of system-wide policies and inform evidence-based decisions.
• Collects, mines, scrapes and analyzes data including those shared by organizations shared by organizations to drive optimization and improvement of inter-agency coordination in behavioral sciences, human resources, organizational management and compensation.
• Assesses and tests the effectiveness and accuracy of new datasets and data processing procedures.
• Develops custom predictive algorithms to apply to data sets.
• Coordinates with different functional teams in CEB organizations to implement models and monitor outcomes.
• Performs other duties as assigned.

Requirements

• Advanced university degree (Master’s degree or equivalent) in data science, computer science, information management, statistics, public administration, public information, economics, management or a related field.
• A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of five years of progressively responsible experience in data science, data analytics, applied mathematics, information management or related area is required.
• Experience in combining data analytics and behavioral science (such as organizational psychology or behavioral economics) is required.
• Experience with data science and statistics-related programming languages such as R and Python, with SQL and relational database design and management is required.
• Experience with data governance, data quality, or data privacy and security practices is desirable.
• Experience with JavaScript and web frameworks, version control tools such as Git, containerization tools such as Docker and with API development and data integration are desirable.
• Experience in people analytics, workforce planning, or compensation analysis is desirable.
• English is required.
• Either Spanish or Chinese (Mandarin) or Arabic or Russian or French is desirable.

Skills

• Data Science
• Data Analytics
• Applied Mathematics
• Information Management
• Behavioral Science
• Organizational Psychology
• Behavioural Economics
• R Programming
• Python Programming
• SQL
• Relational Database Design
• Data Governance
• Data Quality Improvement
• Data Privacy
• Data Security
• JavaScript
• Web Frameworks
• Version Control Systems
• Git
• Containerization Technologies
• Docker Containers
• API Development
• Data Integration
• People Analytics
• Workforce Planning
• Compensation and Benefits Analysis

Languages

English, Spanish, Chinese (Mandarin), Arabic, Russian, French