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Data Science Pipeline Architect
2 weeks ago
To be successful in this role, you should possess the following skills and qualifications:
- Overall experience of more than 6 Years
- Design and implement cloud solutions, build MLOPs on cloud (AWS, Azure, or GCP)
- Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
- Data science models testing, validation and tests automation
- Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
- General understanding of AGILE Project Delivery process
- Excellent written and verbal communication skills for coordinating across teams
- Strong analytic mindset and logical thinking capability, strong QC mindset
- Demonstrates consulting, creativity, critical thinking, project planning, and attention to detail capabilities
- Knowledge of US/Europe pharmaceutical market and experience with pharmaceutical data would be a plus, but not a must
You should also be able to demonstrate:
- Consulting, creativity, critical thinking, project planning, and attention to detail capabilities
- Strong analytical mindset and logical thinking capability
- Excellent written and verbal communication skills
- Ability to work effectively in a team environment