Data Scientist Specialist - Customer Service
Tasks
- Build predictive machine learning models
- Clean and prepare data for modeling
- Communicate insights to stakeholders
- Design experiments and causal inference studies
- Develop and validate statistical models
- Develop deep learning and NLP solutions
- Document methodologies for reproducible research
- Drive data science governance and model quality
- Evaluate model performance
- Integrate models into business processes
- Lead predictive analytics workflows
- Mentor junior data scientists
- Perform data exploration
- Run hypothesis testing
- Work with large datasets
Perks/Benefits
- N/A
Skills/Tech-stack
AWS SageMaker | Azure Machine Learning | CI/CD | Causal Inference | Classification | Clustering | Dask | Deep learning | Dimensionality Reduction | Ethical AI | Experiment tracking | Generative AI | LLM | Language Processing | Linear Algebra | MLOps | MLflow | Machine Learning | Matplotlib | Model Deployment | Model Interpretability | Model Monitoring | Natural Language | Natural Language Processing | Pandas | Parallel processing | Plotly | Polars | Prompt engineering | PySpark | PyTorch | Python | RAG | Regression | SQL | Scikit-learn | Seaborn | Series analysis | Statistical Analysis | TensorFlow | Time Series | Time Series Analysis | Transformer | Tree-Based Algorithms | Version control
Education
Roles
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