SAP Principal Data Scientist Architect Job in Palo Alto, California
Requisition ID: 119621
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Management
Employment Type: Regular Full Time
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.
We're looking for a Principal Data Scientist to be part of our Business Network team and help draw insights from one of the biggest B2B data stores in the world. A key trait to be successful in this role is to have a love for data and utilize it to solve critical problems and deliver end user value. You will create predictive models, extract insights from data, find patterns in payments and buying data, and use your analytical skills to take our business applications to the next level.
Mentor a team of data scientists and work cross functionally with product managers and other engineering teams to deliver predictive models from concept to product
Create predictive models for various business process like payment risk, relationship discovery, catalog optimization
Work with software engineers to put predictive models in production
Determine the tracking necessary to enable analytics of our products and features by working closely with product and engineering partners
10 years of experience
Hands-on experience with machine learning algorithms for regression, classification, and clustering
Strong engineering experience in C, C or Java.
Familiar with classical statistics and time series analysis
Be an iterative and quick thinker – you deliver preliminary results fast and then iterate over time
M.S. or Ph.D. in Computer Science (data mining or machine learning focus), Bioinformatics, Mathematics, Statistics, or another quantitative scientific field
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: email@example.com ). Requests for reasonable accommodation will be considered on a case-by-case basis.
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.
Additional Locations: No Selection