Responsibilities
Participates in data set preparation, overseeing data acquisition and cleaning from primary and secondary sources, and documenting utilized data sets.
Engages in the development, coding, testing, debugging, and rollout of new application systems, releases, modules, and features.
Collaborates in the design and construction of predictive data science systems and products, encompassing visualizations and AI/ML models. Contributes to the development, testing, and upkeep of applications and visualizations adhering to established UN IT technology standards, programming languages, and tools. Aids in establishing and maintaining databases, and supports data collection initiatives, tools, and processes to enhance client office capabilities.
Contributes to identifying and analysing data patterns through various methods. Prepares technical and user documentation for deployed computer application systems and visualizations, along with training materials, and conducts technical presentations.
Assists in data collection, analysis, and visualization preparation for information sharing, query response, knowledge management, planning, and decision-making.
Advocates for the adoption of data science solutions by demonstrating their utility to raise awareness of available data products.
Undertakes additional assigned responsibilities as necessary.
Competencies
PROFESSIONALISM: Uses analytical skills and experience to assist in organizing, managing, and disseminating of information with attention to detail and accuracy; assists with analysis, modeling and interpretation of data in support of decision-making; writes queries, assists with report drafting and prepares findings for presentations and other products; takes pride in the work for the organization and understands the impact that can be brought into the organization by allowing data-driven and evidence-based decisions; demonstrates ability to plan work and adjust to changing priorities; shows pride in work and in achievements; demonstrates professional competence and mastery of subject matter; is conscientious and efficient in meeting commitments, observing deadlines and achieving results; is motivated by professional rather than personal concerns; shows persistence when faced with difficult problems or challenges; remains calm in stressful situations; takes responsibility for incorporating gender perspectives and ensuring the equal participation of women and men in all areas of work.
PLANNING & ORGANIZING: Develops clear goals that are consistent with agreed strategies; identifies priority activities and assignments; adjusts priorities as required; allocates appropriate amount of time and resources for completing work; foresees risks and allows for contingencies when planning; monitors and adjusts plans and actions as necessary; uses time efficiently.
CLIENT ORIENTATION: Considers all those to whom services are provided to be “clients” and seeks to see things from clients’ point of view; establishes and maintains productive partnerships with clients by gaining their trust and respect; identifies clients’ needs and matches them to appropriate solutions; monitors ongoing developments inside and outside the clients’ environment to keep informed and anticipate problems; keeps clients informed of progress or setbacks in projects; meets timeline for delivery of products or services to client.
Education
Completion of high school diploma or equivalent is required.
Supplementary training in data analytics is desirable.
Work Experience
A minimum of seven (7) years of progressively responsible experience in data science, application development, applied mathematics, information management, or related area is required.
Experience in developing data processing workflows, data pipelines, and visualizations using data science tools and processes is required.
Experience with modern application development platforms and frameworks such as Java, .Net, Python or similar, coupled with exposure to application lifecycle management tools, is required.
Knowledge of Microsoft’s Power Platform technologies (power apps, power automate and power BI) is required.
Experience with cloud computing platforms and services such as Azure or AWS is desirable.
Development experience in modern web-based technologies is desirable.
Development experience in Microsoft SQL Server is desirable.
Apply via :
careers.un.org
