Data Scientist Intern
Corporate Staffing Services
Nairobi | FULL_TIME | IT
Closing in 5 months ago
Data Scientist Intern Job. IT Jobs In Kenya
Work within Betalab under the Partnership and Digital department to identify requirements, design and develop solutions (database design, workflows, user/data interfaces, integrations) and offer technical support for Betalab solutions.
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Key responsibilities:
Data Pipeline Development:
- Design, develop, and maintain robust data pipelines for data extraction, transformation, and loading (ETL).
 - Implement data storage solutions using databases and cloud-based platforms.
 - Optimize data processing for performance and scalability.
 
Machine Learning Model Deployment:
- Develop and deploy machine learning models into production environments.
 - Create APIs and web services to expose model predictions.
 - Monitor model performance and implement retraining strategies.
 
Software Development:
- Write clean, efficient, and well-documented code in languages such as Python.
 - Develop data-driven applications and tools to support business objectives.
 - Contribute to the development of our data science platform.
 
Data Analysis and Visualization:
- Conduct exploratory data analysis to identify trends and patterns.
 - Create interactive visualizations to communicate insights to stakeholders.
 - Develop reports and dashboards to track key performance indicators.
 
Collaboration and Communication:
- Work closely with data scientists, engineers, and product managers.
 - Communicate technical concepts clearly to both technical and non-technical audiences.
 - Participate in code reviews and contribute to team knowledge sharing.
 
Knowledge, experience, and qualifications required:
- Degree in Computer Science or technical-related field from an accredited institution.
 - Familiarity with Agile development methodologies.
 - Proficiency in Python and relevant libraries (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).
 - Experience with cloud computing platforms (AWS, Azure, GCP).
 - Experience with RDMS preferably Oracle, MySQL, Non-relational MongoDB.
 
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How to Apply
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