Data Scientist; PSA

Overview

Join to apply for the Data Scientist (PSA) role at United Nations University Institute in Macau
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• Prepare the data extractions
• Write scripts to extract the administrative tax data, anonymize the data, perform quality assurance on the data, write extraction reports.
• Perform basic consistency checks and set up sustainable methods to verify the similarity between successive extractions of the tax data for the National Treasury.
• Assist substantively with related documentation and processes to ensure the timely delivery of data extractions to the National Treasury.
• Work with the team in Pretoria to upload the data extraction to the NT-SDF server.
• Provide substantive support to data related queries.
• Attend to any data queries raised by SA‑TIED stakeholders regarding the data, seek (within SARS) answers to data anomalies.
• Investigate what data is collected by SARS, how it is captured, what variables it includes and whether it could be transferred to NT.
• Investigate new datasets that can be extracted or merged with the SARS data.
• Prepare high‑quality documentation on the data and documentation related to data extractions.
• Support with the preparation of data requests at the National Treasury.
• Update the data plan and recommend changes to ensure timely delivery of extractions.
• Support SARS to document their datasets and systems, to produce metadata for the various datasets.
• Create documentation that tracks changes in tax forms over time.
• Create metadata documentation for the datasets requested by National Treasury.
• Support work to identify tax non‑compliance and revenue opportunities.
• Assist with PITMOD, VATMOD, CITMOD models at SARS.
• Assist with data analysis at SARS.
• Perform other duties as assigned by supervisor.

• Timely data extractions transferred from SARS to the NT‑SDF.
• Produce quality documentation on the data and related processes.
• Quality and timely assistance provided on data queries.
• Support work to identify tax non‑compliance.

• Inclusion — take action to create an environment of dignity and respect for all, regardless of age, culture, disability, ethnicity, gender, gender identity, gender expression, geography, grade, language, nationality, racial identity, religion, sex, sex characteristics, sexual orientation, social origin or any other aspect of identity.
• Integrity — act ethically, demonstrating the standards of conduct of the United Nations and taking prompt action in case of witnessing unprofessional or unethical behaviour, or any other breach of UN standards.
• Humility — demonstrate self‑awareness and willingness to learn from others.
• Humanity — act according to the purposes of the United Nations: peace, dignity and equality on a healthy planet.

• Connect and collaborate — build positive relationships with others to advance the work of the United Nations and work coherently as One UN.
• Analyse and plan — seek out and use data from a wide range of sources to understand problems, inform decision‑making, propose evidence‑based solutions and plan action.
• Deliver results with positive impact — hold oneself and others accountable for delivering results and making a positive difference to the people and causes that the United Nations serves.
• Learn and develop — pursue own learning and development and contribute to the learning and development of others.
• Adapt and innovate — demonstrate flexibility, agility and the ability to think and act in novel ways.

• Advanced university degree (master’s degree or equivalent) in Data Science, Computer Science or a related field.
• Applicants with bachelor’s degree and two (2) years of relevant work experience will also be considered.
• Excellent data skills.
• Previous experience with administrative or big data and database management is an asset.
• Advanced knowledge of SQL (or equivalent) required.
• Experience with programmes such as Python, R, SAS (or equivalent) is an asset.
• Ability to work independently with little supervision.
• Excellent team player with strong interpersonal skills and ability to work in a multi‑cultural, multi‑ethnic environment with sensitivity and respect for diversity.
• Fluency in English is…