Job Purpose and Key responsibilities
Job Purpose:
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.
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
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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