1595 Data Scientist (Advanced) - Menlyn
What will be your role and responsibilities?
- Develop data science solutions and integrate and scale these solutions into MLOps pipelines
- Implements analytical algorithms for object detection, segmentation, classification, and recognition
- Provide support on Low code, no code solutions for business teams
- Evaluate LLM output and compare LLM configurations.
- Provides complete application lifecycle development, deployment, and operations support for Big Data solutions and infrastructure
- Managing the expectations of business product owners, and ensuring that healthy synergy exists between the business and feature team.
- The planning of epics and sprints, and ensuring that business needs are accurately translated into technical tasks for a feature team to execute.
- Is responsible for discovering insights and identifying business opportunities using algorithmic, statistical, and mining techniques
- Interprets the results of statistical and predictive experiments and regression analysis and integrates this into complex business processes
- Analyses the data and build reports by using data visualisation tools such as Qlik and AWS Quicksigh
- Python, Terraform, SQL
- Python, SKLearn, R, OpenAI
- AWS, EC2, S3, EMR, Azure
- Windows, Linux and Unix
- Qlik, AWS Quicksight
- Postgres, AWS RDS
- VSCode, Pycharm, Jupiter Notebooks, Microsoft Visual Studio
- SVN, Git
- ATC Confluence, JIRA, Bitbucket, GitHub, GitHub CoPilot
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