Scientist, Data – Personalization
Organisation: FHI 360
Duty Station: Kampala, Uganda
Experience: 3-4 years
Education: Bachelor’s Degree in IT or related field
Skills: Python/R, Machine Learning, Hadoop, Data Visualization
About Organisation
FHI 360 is an international non-profit human development organization dedicated to improving lives in lasting ways by advancing integrated, locally driven solutions. Our staff includes experts in health, education, nutrition, environment, economic development, civil society, gender, youth, research, technology, communication and social marketing — creating a unique mix of capabilities to address today’s interrelated development challenges. FHI 360 serves more than 60 countries and all U.S. states and territories.
Key Duties and Responsibilities
- Assist in applying data mining techniques and conduct statistical analysis to large, structured and unstructured data sets to understand and analyse phenomena.
- Model business problems, discovering insights and opportunities through statistical, algorithmic, machine learning and visualisation techniques.
- Assists in building machine learning models from and utilises distributed data processing and analysis methodologies.
- Codes, tests and maintains scientific models and algorithms and identifies trends, patterns, and discrepancies in data.
- Liaise and collaborate with the Data Science Guild providing support to stakeholders.
- Supports business integration through integrating model outputs into end-point production systems.
- Use data profiling and visualisation techniques to explain data characteristics.
Qualifications, Skills and Experience
- First Degree in Information Studies, Information Technology or related.
- 3-4 years of experience in working with unstructured data.
- Understanding of data flows, data architecture, ETL and processing of structured and unstructured data.
- Experience with common data science toolkits, such as SAS, R, SPSS, etc.
- Experience with data visualisation tools, such as Power BI, Tableau, etc.
- Proven development experience in software and software engineering.
Technical Competencies
- Data Analysis
- Database Administration
- Data Integrity
- Knowledge Classification
- Research & Information Gathering
Behavioural Competencies
- Adopting Practical Approaches
- Articulating Information
- Challenging Ideas
- Checking Things
- Examining Information
How to Apply
All candidates should apply online at the link below.
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