DATA SCIENTIST, P3

The Data Scientist supports peacekeeping operations to monitor, analyse, and respond to mis/dis/malinformation and hate speech by analyzing complex datasets, developing technology solutions, and collaborating with stakeholders to improve peacekeeping efficiency and effectiveness.

Responsibilities

• Analyze large, complex datasets to extract insights through the use of appropriate techniques and platforms.
• Prepare reports that effectively communicate trends and patterns using relevant data and visualisations.
• Ensure data integrity and compliance with privacy regulations and best practices at the UN.
• Work with stakeholders throughout the organization to identify opportunities for leveraging data to drive business solutions, including liaising with technology providers, civil society, international organizations and Member States.
• Mine and analyze data from organization databases to drive optimization and improvement of programme development, advocacy and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop technology solutions for the purpose of monitoring and analysing the digital information environment.
• Use predictive modeling to increase and optimize entity experiences, benefit realization and other business outcomes.
• Develop organization A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• 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, management or a related field.
• A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
• A minimum of five years of experience in data science, data analytics, applied mathematics, information management or related area is required.
• Experience developing technology solutions related to analysis of the digital and analogue information environment is required.
• Experience in developing and providing training on analysis of the digital information environment is desirable.
• Experience conducting data analysis of digital media datasets is desirable.
• Experience of data science tools such as Jupyter, Matlab, Knime, SPSS, SAS, or similar Statistical Programming Languages such as R, Python, Javascript or related is desirable.
• Experience in using data to advance decisions, strategies and execution is desirable.
• Knowledge of the data analysis life cycle from ingest and wrangling to analysis and visualization to present findings.
• Experience in developing digital software tools using relevant programming languages.
• Excellent knowledge of statistical and computational methods, such as clustering, classification, correlation, dimension reduction, forecasting, machine learning, detecting outliers, and regression.
• Ability to apply judgment in the context of assignments given, plan own work and manage conflicting priorities.
• Takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.
• English is required; French is desirable.

Skills

• Data Science
• Data Analytics
• Applied Mathematics
• Information Management
• Digital Information Analysis
• Data Analysis
• Training Development
• Jupyter
• Matlab
• Knime
• SPSS
• SAS
• Statistical Programming
• Python
• JavaScript
• Data Analysis Life Cycle
• Data Wrangling
• Data Visualization
• Software Development
• Statistical Methods
• Computational Methods
• Clustering
• Classification
• Correlation Analysis
• Dimension Reduction
• Forecasting
• Machine Learning
• Outlier Detection
• Regression Analysis

Languages

English, French