Data Scientist

Employment Type

: Full-Time

Industry

: Miscellaneous



Requisition ID: 283111 Work Area: Consulting and Professional Services Expected Travel: 0% Career Status: Professional Employment Type: Regular Full Time Career Level: T2 Original Posting Date: 03/25/2021 Recruiter Name: J.L. Andal 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. Job Title: Data Scientist Location: Palo Alto, CA Purpose and Objective: SAP Labs, LLC. seeks a Data Scientist at our Palo Alto, CA location responsible for collaborating with Machine Learning/AI Business Development colleagues to identify new requests from customers and jointly work with the product teams. Expectations and Tasks: Identify opportunities to embed Machine Learning/AI capabilities in existing SAP procurement solutions. Implement most recent algorithms and approaches for machine learning in collaboration with our data scientists and researchers. Initiate and participate in projects in the area of prediction, optimization, and processes using advanced statistical/mathematical approaches, in the enterprise environment. Design best architecture and select the most appropriate modeling techniques and data visualization for big data analysis. Closely work with customers, partners and production teams to enhance the solution and systems, troubleshooting data issues. Responsible for timely and high-quality product delivery. Participate in customer workshops, and internal discussions to identify ML use-cases. Communicate the product vision/strategy and progress towards product release to the stakeholders of the projects. Facilitate the testing of ML solutions and provide feedback proactively on areas of improvement. Education and Qualifications/Skills and Competencies: Bachelor's degree in Computer Science, Engineering, Mathematics, Machine Learning, Data Science, 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. Work Experience: Experience or coursework must involve the following: Machine Learning (e.g. Statistics, Prediction/forecasting, Deep Learning, Computer Vision, NLP); Deep Learning, Computer Vision techniques and frameworks; ML tools and packages such as TensorFlow, Keras, numpy; programming languages such as Python, R, C++. Travel: N/A Internal use only: reference code lhrs4262 EX:OUT 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. Additional Locations : Nearest Major Market: San Jose Nearest Secondary Market: Palo Alto Job Segment: Database, Scientific, Engineer, ERP, Consulting, Engineering, Technology

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