Lead Data Scientist
Tasks
- Collaborate with business leaders engineering and platform teams to deliver scalable AI solutions
- Deploy monitor and optimize production AI machine learning models
- Design AI machine learning and analytics solutions
- Develop anomaly detection predictive maintenance and planning optimization use cases
- Develop generative AI and predictive models
- Evaluate recommend and implement emerging AI machine learning and analytics technologies
- Execute end to end AI and machine learning project delivery
- Implement AI machine learning best practices governance and performance standards
- Mentor and coach data scientists
- Perform data exploration feature engineering model development and validation
- Translate business requirements into predictive and prescriptive problem statements
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Anomaly Detection | Deep learning | Feature Engineering | Generative AI | Jupyter Notebook | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Model Validation | Natural Language | Natural Language Processing | Predictive Maintenance | PySpark | Python | SQL | Series forecasting | Statistical modeling | Supervised Learning | Time Series | Time Series Forecasting | Unsupervised Learning | Zeppelin Notebook
Education
Roles
Data Scientist | Lead | Lead Data | Lead Data Scientist | Scientist
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