Job Title: Officer Data Science and Machine Learning
Organisation: YOYA Technologies
Duty Station: Kampala, Uganda
About Organisation:
YOYA Technologies Ltd is a leading Information and Communication Technologies (ICT) service provider and software developer.
Job Summary: We are seeking a proficient Data Scientist & Machine Learning Officer to harness the power of data and machine learning to drive insights and enhance the development of systems. This role is essential for transforming large datasets into actionable insights that drive strategic decisions.
Key Duties and Responsibilities:
- Data Management: Clean and organize large datasets from various sources, ensuring data accuracy and integrity and facilitating effective analysis.
- Exploratory Data Analysis: Perform in-depth exploratory data analysis (EDA) to identify trends, patterns, and anomalies that inform business strategies.
- Model Development: Design, implement, and optimize machine-learning models to improve revenue forecasting, customer segmentation and fraud detection.
- Predictive Analytics: Develop predictive models to forecast trends and improve decision making processes across departments.
- Reporting: Create interactive dashboards and comprehensive reports using visualization tools (e.g. Power BI) to communicate findings effectively to stakeholders.
- Performance Monitoring: Continuously monitor the performance of machine learning models post-deployment, refining algorithms based on real-time feedback and new data.
- Model deployment: Collaborate with the development team to deploy machine learning models in the production environment.
Qualifications, Skills and Experience:
- Education: Bachelor’s degree in Data Science, Statistics, Computer Science or a related field.
- Working Experience: 3+ years in data science, data analysis and machine learning within the IT sector or a related field.
Technical Skills:
- Proficient in SQL for database querying.
- Strong programming skills in Python or R for data analysis and model development.
- Hands on experience with machine learning frameworks (e.g. Tensor flow, Keras, PyTorch) and big data technologies
- Proficiency in data visualization tools e.g. Power BI for reporting insights relevant to system performance
How to Apply:
All candidates should send their updated CVs via Email to: [email protected]
Deadline: 6th November 2024
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