Digital Customer Engagement AI Data Scientist
Tasks
- Apply statistical and deep learning techniques to structured and unstructured data
- Build end-to-end data science pipelines
- Collaborate with data engineering teams
- Communicate analytical results to non-technical audiences
- Design and deploy machine learning and AI models
- Develop feature engineering and model training workflows
- Embed ethical AI principles and governance
- Ensure compliance with data privacy and AI risk management
- Evaluate model performance and reliability
- Monitor model drift and retrain models
- Operationalize AI solutions with MLOps practices
- Support cloud based AI platforms
- Translate business needs into measurable data science problem statements
Perks/Benefits
- 401k retirement plan
- Dental insurance
- Life insurance
- Long-term disability
- Medical insurance
- Paid parking/public transportation
- Paid sick leave
- Paid time off
- Short-term disability
- Vision insurance
Skills/Tech-stack
Azure Machine Learning | Cloud Computing | Data Governance | Databases | Databricks | Deep learning | Drift Detection | Ethical AI | Feature Engineering | Generative AI | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model versioning | NumPy | Pandas | Prompt engineering | PyTorch | Python | Retraining | SQL | Scikit-learn | Snowflake | Statistical Analysis | TensorFlow
Education
Roles
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