SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please contact us at EMEA: +49 6227 7 48599 and careers@sap.com, Americas: hrdirectamericas@sap.com, APJ: hrdirectapj@sap.com. Requests for reasonable accommodation will be considered on a case-by-case basis.

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Business Processes Consultant Data Science Job

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Date: Oct 30, 2017

Location: Moscow, MOW, RU

Company: SAP

Requisition ID: 154973
Work Area: Consulting and Professional Services
Expected Travel: 0 - 50%
Career Status: Professional
Employment Type: Regular Full Time

 

COMPANY DESCRIPTION

 

As market leader in enterprise application software, SAP helps companies of all sizes and industries innovate through simplification. From the back office to the boardroom, warehouse to storefront, on premise to cloud, desktop to mobile device – SAP empowers people and organizations to work together more efficiently and use business insight more effectively to stay ahead of the competition. SAP applications and services enable customers to operate profitably, adapt continuously, and grow sustainably.

 

SAP Labs is looking for Business Processes Consultant Data Science.

 

           ROLE DESCRIPTION:

  • You will answer our customer’s most relevant questions using advanced analytics skills, ideas and insights. You will work in collaborative environment taking part in the whole process of analytical solution creation and delivering measurable business value.
  • You will be aimed at communication between business and IT turning high-level business questions into detailed scope statement of data analysis process.
  • You will have to learn new approaches and analytical methodologies from customer insights, current experience and your background and to propose appropriate modeling approach for particular task.
  • You will face with broad range of data wrangling, cleansing, and processing tasks having the vast amount of data from different sources and with different structures.
  • You will have to develop machine learning models and validate their performance as well as quantifying business impact.

 

WORK EXPERIENCE:

  • At least 1-3 years of hands-on analytical modeling experience
  • Advanced knowledge of analytical modeling techniques (nonparametric regression/classification, collaborative filtering, natural language processing, linear and discrete optimization, simulation, etc.)
  • Experience with existing modeling packages (Python, R, Weka, SAS)
  • Experience working with databases (SQL)
  • Experience with one of programming languages (Python, C++, Java)
  • Communication skills, team orientation and willingness to learn
  • Experience in turning modeling results into knowledge for business stakeholders.

 

EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES:

  • University degree (preferably in computer science), Master’s degree or PhD will be a plus.
  • Development experience (C++, Java) or complex project experience (Agile, scrum) will be a plus.
  • Web development (node.js, php) and visualization framework (D3, JS) experience will be a plus.
  • Data Warehousing/Business Intelligence experience will be a plus.
  • Experience with Big Data solutions (Hadoop, Spark, NoSQL, AWS) will be plus.
  • Experience with business areas (retail, telco, banking, ecommerce) will be a plus.
  • Computer science publications and proven scientific track record will be plus.

          English: Intermediate and higher

 

SAP'S DIVERSITY COMMITMENT

 

To harness the power of innovation, SAP invests in the development of its diverse employees. We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company.

 

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas: Careers.NorthAmerica@sap.com or Careers.LatinAmerica@sap.com, APJ: Careers.APJ@sap.com, EMEA: Careers@sap.com). Requests for reasonable accommodation will be considered on a case-by-case basis.

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