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

Qualifications

Education:

• 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.)

Primary Location

Schedule

Unposting Date