Senior Data Scientist
Tasks
- Automate data science processes
- Build production ready machine learning models
- Collaborate with engineers for scalable deployments
- Conduct data ETL and model data cleansing
- Contribute to cloud infrastructure and data engineering pipeline
- Design statistical models for business problems
- Develop and maintain end to end machine learning pipelines
- Document technical work for production deployment
- Interpret and communicate model results to stakeholders
- Lead rapid prototyping for new business problems
- Monitor and maintain model health in production
- Research new machine learning solutions
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Automl | Azure | Confluence | Databricks | ETL | Graph Models | Jira | Language Processing | Linear Models | MLflow | Machine Learning | NLP | Natural Language | Natural Language Processing | Neural Networks | NoSQL | Python | Random Forest | SQL | Series forecasting | Spark | Statistical Analysis | Time Series | Time Series Forecasting
Education
Roles
Regions
Countries
States
Cities
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