Data Scientist Specialist - Customer Service
Tasks
- Apply ethical AI and model interpretability
- Build machine learning models
- Clean data for modeling
- Communicate findings to stakeholders
- Conduct hypothesis testing
- Design experiments and causal inference studies
- Develop deep learning and NLP models
- Develop predictive analytics
- Document methodologies
- Drive data science innovation
- Ensure model governance
- Evaluate model performance
- Integrate models into business processes
- Lead predictive modeling workflows
- Mentor junior data scientists
- Perform data exploration
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Azure ML | CI/CD | CUDA | Dask | Deep learning | Dimensionality Reduction | Experiment tracking | GPU | Language Models | Large Language Models | Lifecycle Management | Linear Algebra | MLOps | MLflow | Machine Learning | Matplotlib | Model Deployment | Model Lifecycle | Model Lifecycle Management | Model Monitoring | Pandas | Parallel processing | Plotly | Polars | Prompt engineering | PySpark | PyTorch | Python | RAG | Relational databases | Retrieval-Augmented Generation | SQL | Scikit-learn | Seaborn | Series forecasting | TensorFlow | Time Series | Time Series Forecasting | Transformers | Tree-Based Algorithms | Version control
Education
Roles
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