Junior Data Scientist - Quality Engineering & AI/ML Implementation
Tasks
- Analyze quality data patterns and gaps
- Build semantic data model understanding
- Collaborate with data engineers and AI ML engineers on pipelines
- Define data assets for quality use cases
- Deliver centralized quality reporting with harmonized KPIs
- Develop and validate machine learning models for quality prediction
- Document analytical findings and model performance
- Translate business quality challenges into AI ML problem statements
- Use large language models for quality tools and workflows
Perks/Benefits
Skills/Tech-stack
AWS Lambda | AWS SageMaker | Amazon S3 | Data Governance | Data Modeling | Data models | Experiment tracking | Language Models | Large Language Models | MLOps | Machine Learning | Machine Learning Model Development | Model Development | Model versioning | Prompt engineering | Python | SQL | Scikit-learn | Semantic data | Semantic data models | XGBoost
Education
Roles
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