Job Description:
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. Key Responsibilities: -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. Key Qualifications: -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.
Additional Info:
COMPANY DESCRIPTION: 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. 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: careers@sap.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. [Click Here to Access the Original Job Post]
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. Key Responsibilities: -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. Key Qualifications: -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.
Requeriments :
- M.Sc. or higher Degree in Bioinformatics
- M.Sc. or higher Degree in Computer Science
- M.Sc. or higher Degree in Statistics
Skills :
Areas :
Additional Info:
COMPANY DESCRIPTION: 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. 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: careers@sap.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. [Click Here to Access the Original Job Post]