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Our client, a global FMCG firm is looking for a data scientist.
This role will be focusing on creating a solution for systematic understanding the sales potential of stores based on models using Geographic Information and our first-party data. GIS (geographic information system) data will be retrieved systematically and combined with secondary sales data to create features for the model which will help to identify
1. Locations with high sales potential
2. Assortment fits to those locations. Current scope covers the core facilities of data collection, processing and modelling.
Key Accountabilities:
• Processes (Tools) development according to the solution requirement.
• GIS programming for model deployment.
• Create map based visualization framework within the context of model deployment
Note: The project duration is 6 months and is based in Singapore.
1. Working knowledge of:
- Google map APIs
- Fusion table and map visualization
- KML, general map programming
- Data Visualisation(D3.js)
- Data model
- Sklearn
- Azure environment
2. Full knowledge of: Python
3. Strong communication skills.
A leading transnational consumer goods company
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6+ years
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