Data Scientist
Tasks
- Build production quality Python and PySpark pipelines
- Collaborate with product, engineering, and operations
- Conduct code reviews
- Deploy and monitor machine learning models
- Develop reusable tools and libraries
- Document technical solutions
- Implement DataOps and MLOps best practices
- Lead solution design and break down epics into user stories
- Mentor junior data scientists
- Own end to end data science project delivery
- Scope data science problems and design approaches
- Select and evaluate machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Airflow | B testing | Causal Inference | Classification | Clustering | Databricks | Delta Lake | Embeddings | Entity Resolution | Experiment tracking | Experimental Design | Identity resolution | Knowledge graphs | LLM | ML | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Probabilistic record linkage | PySpark | Python | RAG | Record Linkage | Regression | Reproducible deployment | SQL | Semantic Search | Semantic similarity | Synthetic control | Uplift Modeling | Vector Databases | Vector Embedding
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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