Associate Data Scientist, P2

The Associate Data Scientist will assist in data exploration, acquisition, cleaning, and analysis to support decision making and organizational goals within the Secretariat of the International Narcotics Control Board (SINCB) at UNODC. The role involves developing data science products using advanced analytical methods and contributing to data visualization and client training.

Responsibilities

• Assist in the exploration, identification, and acquisition of data sources to determine their suitability for use in decision making and advancing the goals of the organization.
• Enable broader use of data sources by applying quality methods to structure, clean, format, parse, and standardize for analytical use.
• Contribute to the design and develop data science products to reveal insights and provide an understanding or knowledge of the data using advanced analytical methods such as artificial intelligence, machine learning, predictive analytics, data and text mining, natural language processing, statistics, and relevant algorithms and computational approaches.
• Acquire and clean data from primary or secondary sources and maintain databases/data systems.
• Implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Identify, analyze, and interpret trends or patterns using basic machine learning techniques and statistical methods to identify relevant features and variables in structured data and develop corporate visualization solutions.
• Track and report on progress regarding department specific data initiatives.
• Contribute to the design and develop customized visualization and presentation products for the Board, clients, management, and international partners, suitable for briefings, reports, documentation, interactive interfaces, and publication quality outputs.
• Assist in promoting the use of data science solutions through client training (staff, internal and external partners) and development of products, tools and processes to extend client capabilities.
• Perform other work-related duties as required.

Requirements

• Advanced university degree (Master’s degree or equivalent) in data science, computer science, analytics, mathematics, statistics, engineering, information management, or a related discipline is required.
• A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree.
• A first-level university degree and no experience will be accepted for candidates who have passed the Young Professionals Programme Examination (YPP), United Nations National Competitive Recruitment Examination (NCRE) or the General Service to Professional Examination (G to P).
• A minimum of two years of work experience in data analytics, data science, business intelligence, statistical analysis, developing machine learning algorithms (AZURE ML, Python or similar) or related areas, OR the successful completion of the Young Professionals Programme Examination (YPP), United Nations National Competitive Recruitment Examination (NCRE) or the General Service to Professional Examination (G to P) is required.
• Work experience in using data to support decision-making, strategic planning, performance monitoring, execution and reporting is desirable.
• Work experience with self-service analytics, data visualization dashboard development, and reporting applications (MS PowerBI, Qlik, Tableau or similar) including the development of customized visualization and presentation products is desirable.
• Work experience acquiring, cleaning, transforming, validating, and managing data from multiple sources, and implementing databases, data collection systems, data pipelines, or related data management solutions using programming languages (SQL, Python, R or similar technologies) is desirable.
• Work experience in tracking, monitoring, and reporting on data initiatives, projects, organizational performance indicators, or related programmes is desirable.
• Work experience in developing and delivering technology analytics, or data science training to law and regulatory enforcement officers, including officials from developing countries is desirable.
• Experience working with the United Nations system or a similar international organization is desirable.
• English language proficiency at UN Level II in reading, writing, listening, and speaking is required.

Skills

• Data Science
• Data Analytics
• Business Intelligence Reporting
• Statistical Analysis
• Machine Learning
• Azure ML
• Python
• Data Visualization
• Power BI
• Qlik
• Tableau
• Data Cleaning
• Data Transformation
• Data Validation
• Data Management
• SQL
• R Programming
• Dashboard Development
• Performance Monitoring
• Training Delivery
• UN System Experience

Languages

English