Ref: KNBS/YS-2025/1/2024
Job Purpose: A Young Statistician at this level will work under Supervisors and Mentors to guide him/her in the performance of duties and responsibilities
Duties and responsibilities
Learning and improving on statistical programming skills including as R and Python to enhance production of statistical data;
Assisting in the development of statistical and machine learning models in support of various domains of statistics;
Participating in the development of new approaches of getting insights and managing data within various real-time and open-source data, such as social media, incident tracking databases, geospatial data, etc;
Working in collaboration with stakeholders on projects to develop applications to address emerging areas of official statistics
Performing other related duties as may be assigned.
Requirements for Appointment
Must be a Kenyan citizen;
Must have attained a Bachelor's Degree in Statistics, Mathematics, Data Science, Computer Science, Software Engineering, Geospatial/ Geographic Information Systems or related qualifications from a recognized institution;
Proficiency in using R or Python programming languages ;
The opportunities are in four categories namely: Software Engineering, Data Science, Data Management and Geospatial Technology.
Added Advantage
Applicants with the following additional qualifications will have an added advantage:
For Software Engineering Category
Full Stack Development experience with focus on Web Applications / Web Development;
Front-End Development expertise:
HTML
JavaScript and/or TypeScript
Experience with at least one of the following frameworks/libraries:
NextJS
D3JS
ThreeJS
For Data Science Category
Proficiency in artificial intelligent (AI) and Machine Learning
Experience with data manipulation and analysis libraries:
Pandas
NumPy
Scikit-learn
Proficiency in SQL for data querying and manipulation
Experience with at least one of the following data visualization tools:
Matplotlib
Seaborn
Plotly
For Data Management Category
Proficiency in data management;
Experience with at least two of the following database systems:
PostgreSQL
MySQL
Microsoft SQL Server
Familiarity with data management tools:
Database administration tools
Extract, Transform, Load (ETL) tools
Data quality tools
For Geospatial Technology Category
Familiarity with Geographical Information System (GIS) and remote sensing tools to generate data specific to a location or geography;
Familiarity with QGIS software;
Experience in geospatial programming using Python programming language;