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 and Qualifications
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.
How To Apply
