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Data Scientist for Intelligent Commerce (Senior/Expert) Job

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Date: May 16, 2019

City: Gliwice, SL, PL, 44-100

Company: SAP

Requisition ID:212977
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: t3
Recruiter Name: Karolina Sikorska-Kowol


SAP started in 1972 as a team of five colleagues with a desire to do something new. Together, they changed enterprise software and reinvented how business was done. Today, as a market leader in enterprise application software, we remain true to our roots. That’s why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures.

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees. We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all. We believe that together we can transform industries, grow economics, lift up societies and sustain our environment. Because it’s the best-run businesses that make the world run better and improve people’s lives.


SAP Commerce Cloud provides a superior and personalized omnichannel commerce experience, enabling customers to speed time-to-value and reduce total cost of ownership to win business and build loyalty. In addition, our Context-Driven Services solution (part of SAP Commerce Cloud) enables businesses to interpret customer’s “micro-moments” of interest and to deliver the personalized shopping experience customers expect today. Businesses can gain clear customer insights, intents, affinities, and other unique information – through user opt-in or opt-out options.  More details about the SAP Commerce Cloud solutions here:

We are seeking a passionate data scientist to support the design and productization of “intelligent commerce” use cases for our cloud-native, microservice-based solution. The successful candidate must come with a strong track record of designing, implementing and delivering data science projects and understand the challenges of big data and real-time applications. We want to see vision, team spirit, pragmatism and empathy. We are working with the latest big-data technologies to implement a world-class software product and we expect willingness to continuously learn new technologies and methodologies.


  • Design, prototype and evaluate machine-learning use cases around “intelligent commerce”
  • Work with stakeholders throughout the organization to identify opportunities and drive business solutions
  • Transfer knowledge into development teams and proactively support them for productization
  • Assess the effectiveness and accuracy of new data sources and design data engineering techniques
  • Have the flexibility to adapt to technologies and change directions quickly


Required skills

  • Advanced degree in computer science, software engineering, mathematics or equivalent
  • Capable of engaging in all phases of a data science project
  • Data engineering experience, focused on data cleansing, enrichment, and designing data pipelines
  • Good knowledge of statistical computer languages (Python, Scala, etc.)
  • Good knowledge of advanced statistical and machine learning techniques (regression, clustering, decision trees, artificial neural networks, support vector machines, etc.) and their real-world advantages/drawbacks
  • Good communication skills and fluency in English

Preferred skills

  • Experience working with Deep Learning frameworks like Tensorflow, MXNet, Caffe 2, Theano, CNTK, or Keras
  • Experience using Data Science and ML libraries, such as scikit-learn, mllib, SciPy, pandas, etc.
  • Experience with visualizing and presenting data for stakeholders
  • Experience with notebook interfaces like Jupyter or Zeppelin


  • 5+ years of experience as a data scientist, preferably in a professional software development/engineering context
  • Working experience in an international enterprise environment
  • Working experience in e-commerce, marketing, or other domains with customer data is preferred




Success is what you make it. At SAP, we help you make it your own. A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.

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 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: or, APJ:, EMEA:

Successful candidates might be required to undergo a background verification with an external vendor.

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