Senior Data Scientist - Machine Learning & AI
Tasks
- Apply generative AI LLM RAG and vector databases in business applications
- Build feature engineering and model training and inference pipelines
- Deploy monitor and optimize ML models including drift detection
- Design build evaluate and deploy production machine learning models
- Develop predictive models for customer and marketing use cases
- Mentor junior data scientists and establish model development best practices
- Perform statistical analysis hypothesis testing and causal inference
- Translate business problems into scalable data science solutions
Perks/Benefits
Skills/Tech-stack
AWS | Airflow | Apache Spark | Azure | Bayesian Methods | CI/CD | Causal Inference | DBT | Deep learning | Embeddings | Feature Engineering | Generative AI | Great Expectations | Hypothesis Testing | Inference Pipelines | Kubeflow | LLMs | Langchain | LightGBM | MLOps | MLflow | Machine Learning | Model Deployment | Model Monitoring | Neural Networks | Predictive Modeling | Python | RAG | Random Forest | Regression | SQL | Snowflake | Time Series | Vector Databases | Vertex AI | XGBoost
Education
Roles
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