Data Scientist – AI Flagship

Schneider Electric

About the job

Roles & Responsibilities

    • Identify and understand business problems: partner with business stakeholders to understand and communicate on business objectives
    • Define analytical techniques to solve business challenges
    • Provide data science contribution into the assigned projects
    • Be part of the innovation programs (eg. Semtech, chatbots)
    • Maintain high quality code and documentation
    • Assure efficiency, stability and scalability of the solution
    • Create & deliver easily-consumable presentations to large groups of stakeholders and executives that showcase actionable insights and recommendations

Team & Interaction

  • Data Scientist interacts with all members of service line she is assigned to in order to develop & provide best in class solutions for the business.
  • She interacts as well with key stakeholders of the business domain – business process owners/experts, operations etc. in order to identify business opportunities, discuss & test solutions
  • She interacts also with other service lines as well as Analytics Apps & Infrastructure team in order to exchange best practices
  • She interacts also with Analytics Apps & Infrastructure team in order to industrialize data products
  • She interacts with Global IT department (Schneider Digital) to support the work on Intel Data Store



  • University degree with focus on quantitative methods/ econometrics/ statistics/ mathematics / IT or related degree programs

Working Experience:

  • University graduate and/or Min. 1 year of hands on experience in using advanced analytical techniques to solve practical problems from prototyping to business impact

Others (e.g. language skills, technical skills):

Requirements (MUST HAVE)

  • Strong programming skills in R or Python
  • Deep understanding of machine learning and statistical methods with their underlying theory and math
  • Passion for innovation & development of algorithms for the new use cases (eg. This could be projects involving chatbots, blockchain etc)
  • Experience in providing the results of analyses in clear written form and presenting the findings to the audience
  • Experience with relational databases such as Oracle, SQL Server etc.
  • Fluent English. Any other language a plus

Requirements (NICE TO HAVE)

  • Experience with big data platforms – Hadoop(Hive, Pig, Map Reduce, HQL)/Spark/H2O
  • Practical experience with AWS platform (Redshift, S3, Athena etc.)

Schedule: Full-time

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