Beschreibung
We are currently looking for a Data Scientist ASAP (mainly remote) for our client from the consumer goods industry in Düsseldorf.Start: 15.10.2020
End: 11.11.2020
Duration: 20 days
Langages: English, German
Location: Düsseldorf, remote
Background
The client's specification data for determining the weight of packaging materials is not perfect, BOM data or the specification data can be missing or wrong. The fraction sales with such data cannot be neglected. Hence, the packaging weight of this fraction sales data has to be approximated. The results of the approximation will be used in the client's forecasting of packaging disposal fees and taxes, in the client's Sustainability Report, in Scope 3 GHG reporting.
Task
Development of an automated method for approximating packaging weights for insufficiently specified products. All of the client's products sold in a year are in scope. Python is the coding language. The code used for calculation the well-specified data will be provided by client in advance. Also the business requirements for plausibility for the approximation will be provided by advance.
Subtasks
- Develop criteria and algorithms to identify insufficiently specified products.
- Develop estimators from well-specified products.
- Test the estimators: Calculate approximated weights of packaging materials and subject the results to packaging expert for plausibility checks.
- Refine the estimation approach according to the results of the plausibility check that will be provided by the client in written.
- Prepare documentation according to the client's templates that will be validated and approved. The documentation includes
* a description of the approximation method
* an instruction for users of the resulting script
Used data:
* Client's sales data
* Bill of material data
* Specification data for packaging materials
Requirements:
* Python
The goal is to affiliate a method of approximation of packaging weights for insufficiently specified products.
Person of contact: Katerina Grammenidou
Michael Bailey International is acting as an Employment Business in relation to this vacancy.