Data Scientist
Tasks
- Build production quality Python and PySpark workflows
- Collaborate with product engineering and operations on technical specifications
- Conduct code reviews and provide feedback
- Create reusable tools libraries and technical documentation
- Implement ML and AI workflows for entity resolution and matching
- Lead solution design and break down work into user stories
- Mentor junior data scientists
- Own end to end data science project delivery
- Scope problems and design approaches
- Select and evaluate models and document decisions
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Classification | Clustering | DataOps | Databricks | Delta Lake | Embeddings | Entity Resolution | Experiment tracking | Experimental Design | LLM | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Pipeline Orchestration | Probabilistic record linkage | PySpark | Python | Record Linkage | Regression | Reproducibility | Retrieval-Augmented Generation | SQL | Semantic Search | Semantic similarity | Vector Database | Vectorization
Education
Roles
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