This Job Vacancy has Expired!

Data Scientist - Retail

Posted on Jan 28, 2020 by Argyll Scott Technology

Ticino, Switzerland
IT
Immediate Start
£10 - £50 Annual
Full-Time

One of Argyll Scott's retail clients is looking for a Lead Data Scientist to join them on a permanent basis, in Switzerland.

They are offering a generous base salary % bonus, as well as upto 50% product discount and even more exclusive perks!

What you will be doing-

  • Apply data modelling and analytical pipeline to large data set
  • Manage e2e life cycle for advanced data Science products
  • Prove Business impact by leading scalable data initiatives across different domains,
  • Create and own the right set of metrics and audit mechanisms to track the performance of such initiatives
  • Conduct thorough analyses on business problems, and formulate conclusions
  • Provide leadership for Data Science domain, guide and inspire data Science team, identify new analytics opportunities and engage with business and technology partners
  • Analytics Tracks: Marketing, Demand forecast, Consumer Lifecycle management, Pricing & Stock optimization, Channel Performances

What you will need to apply -

  • MSc or PhD in quantitative or scientific discipline (Mathematics, Statistics, Physics, Engineering, Computer Science, Econometrics or strongly related subjects)
  • 5-7 years of proven experience in Data science initiatives in Retail space, with proven knowledge of bringing to live analytical solutions
  • Good knowledge of data structures and technologies (relational DB, file formats, NoSQL DB, etc.)related to Big Data and Cloud computing (Hadoop, Map Reduce, Spark)
  • Ability to master few of the following languages: Python, Java, Scala, R, Matlab, Octave, as well as advanced SQL knowledge
  • Experience in managing Data Science team
  • Full proficiency in technical and business English

For more info please use the below details to reach out.

Please do contact me (see below) for further info and a confidential chat for immediate consideration.

Reference: 834358721

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