Associate Data Scientist
Organizational Context
This position is based in the Office of the Secretary (OS) within the Secretariat of the International Narcotics Control Board (SINCB), a division of the United Nations Office on Drugs and Crime (UNODC) in Vienna. The role reports to the manager of the GRIDS Programme and supports the administrative functions of the INCB, which reports substantively to the Board.
Job Purpose
The Associate Data Scientist will contribute to the exploration, acquisition, and preparation of data sources for organizational decision-making and goal advancement. This involves applying quality methods to structure, clean, and standardize data for analytical use. The role will design and develop data science products using advanced analytical methods like AI, machine learning, and predictive analytics to uncover insights. Responsibilities include acquiring and cleaning data, maintaining databases, implementing data collection and analytics strategies, identifying trends, and developing visualization solutions for various stakeholders. The position also supports promoting data science solutions through training and product development, extending the capabilities of client offices.
Responsibilities
Key responsibilities include assisting in the exploration, identification, and acquisition of suitable data sources for decision-making and organizational goals. This involves applying quality methods to structure, clean, format, parse, and standardize data for analytical use. The role will contribute to designing and developing data science products, leveraging advanced analytical methods such as AI, machine learning, predictive analytics, data mining, natural language processing, and statistics to reveal insights. Responsibilities also encompass acquiring and cleaning data from various sources, maintaining databases, implementing efficient data collection systems and analytics strategies, and identifying/analyzing trends and patterns using machine learning and statistical methods. Furthermore, the incumbent will develop corporate visualization solutions, track data initiatives, create customized visualization and presentation products for diverse audiences, and promote data science solutions through client training and tool development.
Work Experience
A minimum of two years of work experience in data analytics, data science, business intelligence, statistical analysis, or developing machine learning algorithms is required. Experience in using data for decision-making, strategic planning, performance monitoring, and reporting is desirable. Experience with self-service analytics, data visualization tools (e.g., PowerBI, Tableau), data acquisition, cleaning, transformation, and management using programming languages (SQL, Python, R) is also desirable.
Skills
Data analysis life cycle knowledge (ingest, wrangling, analysis, visualization). Proficiency in statistical and computational methods (clustering, classification, regression, machine learning). Professionalism, teamwork, and technological awareness. Ability to apply technology to tasks and learn new technologies.