Senior Data Scientist | Corporate Services | Group Tech & Dig Platform
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Key skills for this role
Role Overview
Lead the development of advanced machine learning models for demand forecasting and pricing optimization.
Use Generative AI, MLOps, and cross-functional collaboration to integrate data-driven solutions into the business.
Success is measured by predictive model accuracy and robustness, pricing optimization, and improved customer analytics.
Key Skills for This Role
Full Job Posting
Role Overview
Lead the development of advanced machine learning models for demand forecasting and pricing optimization.
Use Generative AI, MLOps, and cross-functional collaboration to integrate data-driven solutions into the business.
Success is measured by predictive model accuracy and robustness, pricing optimization, and improved customer analytics.
What You Will Do
- Design, develop, and deploy demand forecasting models using ARIMA, XGBoost, LSTM, and other machine learning techniques.
- Use Generative AI to simulate future demand scenarios and improve model predictions.
- Implement dynamic pricing models based on demand predictions, inventory levels, and competitor data.
- Apply clustering algorithms and machine learning models to analyze customer behavior and predict customer lifetime value.
- Monitor and fine-tune model performance using MAE, RMSE, and Precision/Recall metrics.
- Apply MLOps practices including version control, deployment pipelines, automated testing, monitoring, and scaling.
- Collaborate with marketing, product, and sales teams to align forecasting models with business objectives.
- Deploy and scale forecasting and pricing models on Azure using CI/CD pipelines and model monitoring tools.
Requirements
- High level of expertise in Generative AI.
- High level of expertise in MLOps.
- Ability to collaborate with cross-functional teams to integrate data-driven solutions with business objectives.
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