Data Science Associate (office Based) [open To Internal And External Applicants]

Organizational Context

The United Nations Development Programme (UNDP) Brazil, within its Human Development Unit (UDH), focuses on strengthening public policies through projects promoting Human and Sustainable Development. The Atlas of Human Development in Brazil (ADH) is a key online data platform used to guide policy design and implementation. The role supports the UDH in updating and enhancing the ADH, incorporating new data and indicators to address contemporary challenges like poverty, climate change, and inequality.

Job Purpose

The Data Science Associate will support the Human Development Unit (UDH) in Brazil with data-related activities for Human and Sustainable Development agendas. This includes contributing to the development and review of Human Development Reports (national, regional, global), maintaining and updating the Atlas of Human Development in Brazil, and addressing Sustainable Development Goals (SDGs). The role involves providing technical advice on data collection, processing, analysis, and interpretation, as well as performing other related tasks as directed by the Coordination. The position aims to leverage data science to inform policy-making and enhance the understanding of development challenges and progress in Brazil.

Responsibilities

The Data Science Associate will provide technical support for structuring and organizing data sources, including mapping, cataloging, and defining data standards. Responsibilities include developing and implementing solutions for data inconsistencies, performing data cleaning, transformation, and preparation for analysis, and assisting in the development and testing of predictive and classification models. The role also involves supporting the creation of reports, dashboards, and visualizations using Business Intelligence tools, and contributing to the elaboration of diagnoses and statistical bases. Additionally, the associate will help structure and organize data, implement data governance practices, document methodologies, and support the validation of data tools and systems. Facilitating knowledge sharing and training is also a key aspect of the role.

Work Experience

No specific work experience is explicitly detailed. However, the role requires practical experience in data extraction, analysis, visualization, data cleaning, and model development. Familiarity with data management, BI tools, and programming languages like SQL, Python, and R is implied.

Skills

Data Analysis, Data Literacy, Data Engineering (SQL, Python, R, ETL), Data Management & Analytics, Predictive Modeling, Dashboard Development, BI Tools, Statistical Analysis, Problem-Solving, Adaptability, Continuous Learning, Collaboration.

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