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Corporate Staffing Services
Data Scientist Intern

Corporate Staffing Services

Nairobi | FULL_TIME | IT

Closing in 2 weeks 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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