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Data Scientist Job

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Date: Nov 20, 2020

City: Palo Alto, CA, US

Company: SAP

Requisition ID: 270747
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time

Original Posting Date: November 20, 2020 



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.

Location:  Palo Alto, CA


Purpose and Objective:  
SAP Labs, LLC. seeks a Data Scientist at our Palo Alto, CA location responsible for working in customer projects to execute the mathematical modeling of customers business problems, develop algorithms, data mining flows and applications to solve problems, and help customers directly to understand and implement results of the analysis.


Expectations and Tasks: 
Work directly with industry experts and technology experts to translate customers business needs into mathematical models and present and deliver solutions to the client. Work in development to integrate or implement data mining/ mathematical methods into products. Responsible for evaluating and testing data mining methods and maintain a high level of quality. Responsible to work closely with the senior data scientist to prototype new innovations and eventually get them into the product. Contribute to data definitions, data storage infrastructure for data mining purposes and to Data Mining architectures. Resolve data mining performance issues and monitor data mining system performance and implement efficiency improvements. Implement data mining algorithms. Work closely with product management, application developers, information developers and end users. Work in research projects to perform functional and empirical analysis on data mining topics. Conduct research on data mining tools and algorithms, implement prototypes and data mining algorithms and validate them on real data. Contribute to best practices for data mining topics and collaborates with development, universities and research institutes. 10% travel required.

Education and Qualifications/Skills and Competencies: 
Bachelor's degree in Computer Science, Engineering, Mathematics, or related field of study and 1 year of experience required. The company will also accept a Master's degree and 0 years of experience. Will accept pre-bachelor’s degree experience.


Work Experience: 
Experience or coursework must involve the following: Leverage state-of-the-art deep learning and machine learning techniques; Translate recent results from research and academia into software modules; Implement machine learning-based solutions using Python, Java, OpenCV, and at least one deep learning framework; Build neural networks and related ML systems using MATLAB; Agile software development, task coordination, and execution; Speak at conferences and prepare and present workshops targeted at technical audiences; and Apply software design patterns and object-oriented design principles to the development and maintenance of full-stack Java applications in an enterprise context. 10% travel required.


Travel:  10% travel required.


Internal use only: reference code lhrs4262

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

EOE AA M/F/Vet/Disability:
Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

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

Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto

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