Young Statistician – 10 Posts

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;

Successful candidates shall be required to obtain the following:Instructions to Applicants:

Apply via :

docs.google.com