Beschreibung
For our fast moving consumer goods client we are currently looking for a Python Developer (machine learning)Start: 13.04.2020 (latest 20.04.2020)
End: 12.06.2020
Location: Remote / onsite once possible (Düsseldorf)
Volume: from 50% to 80%
Project description:
The service is requested as part of a project and the purpose is:
Using advanced data analytical methods, deep diving into Adhesive sales projects to dig out and build customer turnover logic, product recommendation system, business optimized win/loss forecast model, optimized customer turnover prediction model and advanced authorization concept for the dashboard and guide sales team for more effective project management, in order to drive customer & sales momentum. After that, creating a reporting web & mobile application which is embedded to SAP/ACE system.
Tasks:
* Building a recommender system using a Machine Learning algorithm of their choice in industry to provide a Power BI dashboard which is embedded to Client's SAP system for sales representatives in order to recommend a product for sales;
* Using Python (PySpark) to connect financial data which is provided by the Client Data Foundation (HDF) to the Machine Learning algorithm
* In case further data is needed for the large-scale machine-learning models (recommender system model), establishing a data pipeline which can be connected to HDF and Dremio.
The service provision of the contractor has the goal to establish a recommender system usable for sales representatives that can be connected to Client data sources through pipelines.
Skills:
- Excellent Python and PySpark skills
- Prior research or industry experience in the Recommender Systems (RecSys)
- Strong expertise in machine learning
- Strong analytical and problem-solving skills
- Excellent written and verbal communication skills
- Ability to effectively communicate data insights
- Bachelors', Masters' or PhD in a Computer Science or Statistics or Economics related
degree or equivalent work experience in the field.
- Familiarity with core Machine Learning concepts and techniques
- 3+ years experience developing and delivering effective ML solutions for large scale
production use cases.
N2H qualifications:
- Conduct hands-on data analysis, build large-scale machine-learning models and
pipelines.
Michael Bailey International is acting as an Employment Business in relation to this vacancy.