Requisition ID: 264929
Work Area: Information Technology
Expected Travel: 0 - 10%
Career Status: Student
Employment Type: Limited Full Time
COMPANY DESCRIPTION
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.
DESCRIPTION OF THE POSITION
SAP HANA is an in-memory relational database management system developed by SAP, currently used by thousands of customers all over the world. In order to monitor the status of the system, SAP collects relevant information at customer side, mostly time-series data. As a data scientist, your objective will be to analyze the data, and provide a multi-dimensional and multi-criteria visualization of the data ( e,g using T-SNE algorythm ).
You will investigate and apply some state-of-the-art models for clustering, tune and validate such models, and compare them. Selecting right set of features for system clustering is highly critical for this.
Your tasks will include:
You will have an opportunity to work wit NVIDIA DGX server.
COMPETENCES
Currently pursuing a master’s degree in Statistics, Computer Science, Data Science, Machine Learning, or related. Good knowledge and/or previous experience in time-series data. Proficiency in Python and commonly used machine learning libraries like Numpy, Pandas, Scikit-Learn, TensorFlow/PyTorch. Proficiency in SQL. Desire and ability to work closely with a team (local and distant); Good written and oral practice of English and French required. German is a plus; Ability to think innovatively & autonomy in workWHAT YOU GET FROM US
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.
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 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).
Successful candidates might be required to undergo a background verification with an external vendor.
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