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Senior Data Scientist
  • Machine Learning
  • Data Analysis
  • Database
  • Data Mining
  • Modeling
Palo Alto, CA
174 days ago

Requisition ID: 255863
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time


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:

Ariba, Inc seeks a Senior Data Scientist at our Palo Alto, CA location to work on customer projects to lead small project teams or work streams in the execution of our customer projects, or participate in such projects as a key individual contributor to execute the mathematical modeling of our customers’ business problems, develop algorithms, data mining flows and applications to solve these problems, and help our customers directly to understand and implement the results of the analysis.

Expectations and Tasks:

Work directly with industry experts and technology experts to translate our customers’ business needs into mathematical models and present and deliver solutions to clients. Provide support to SAP’s sales force in order to generate new customer business in the area of data science. Responsible for work packages related to Data Mining topics, specify and design data mining methods and integrate or implement these into products. Create prototypes and work closely with the engineering team to deliver features into the product, evaluate and define test strategies for delivering high quality product features and capabilities of the product. Evaluate and test data mining methods and maintain a high level of quality. Create data definitions and contribute to data storage infrastructure for data mining purposes and to Data Mining architecture. Resolve data mining performance issues and monitor data mining system performance and implement efficiency improvements. Implement data mining algorithms if required, work closely with product management, application developers, information developers and end users. Lead small project teams of researchers or participate in such projects as key contributor, 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. Create best practices for data mining topics and collaborate 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 6 years of experience required. The company will also accept a Master's degree and 4 years of experience

Work Experience:

Experience must involve 4 years in the following: regression modeling, machine learning, natural language processing, data analysis, application of distributed systems to scale solutions, database design, linear algebra, calculus. 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. ( or, APJ:, EMEA: 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:

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