Senior Data Scientist
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Summary
Senior Data Scientist in Melbourne building a workforce-planning forecasting model for a well-known retailer: gathering stakeholder requirements, assessing data quality and gaps, and developing scalable forecasting models using statistical and machine learning techniques.
Senior Data Scientist required to create a forecasting model for a well-known retailer to assist with workforce planning.
Responsibilities:
Responsibilities:
- Working with internal stakeholders to gather and define requirements
- Analysing historical and real-time data, assess data quality and identify gaps
- Developing qualitative forecasting models using statistical and machine learning techniques
- Building scalable and adaptable models to allow for changing workforce flows
- Extensive background in data analysis and statistical modelling
- Strong data integration, cleansing and analysis
- Proven experience in time-series forecasting and scenario analysis
- Excellent stakeholder engagement and collaborative development skills
- Extensive experience working in an Azure environment, with Fabric and AI Foundry skills