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SAP - Senior Data Scientist (Full Time)

Location: Palo Alto CA Country: United States of America
 

Requisition ID: 236031
Work Area: Software-Development Operations
Expected Travel: 0 - 10%
Career Status: Professional
Employment Type: Regular Full Time
Career Level: T3
Hiring Manager: Frank Wu

Recruiter Name: Allison Miller

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.

SAP is bringing the Intelligent Enterprise to improve and automate business processes. Across various focus clusters and by building on strong teams, we pioneer game-changing solutions in close collaboration with startups, customers & partners in industry and research as well as with other SAP units. To ensure a successful go-to-market, we follow an end-to-end responsibility approach. By exploring unconventional ideas and developing inspiring proofs of concept, we push the state of the art in computer science and its applied fields to provide SAP with foresight into future trends.

As part of the SAP Ariba Machine Learning team, you will work with data scientists, software developers and product managers with a goal of identifying machine learning pipelines and facilitating the development of ML/AI enabled enterprise applications in collaboration with several SAP LoB teams (with a focus on SAP Intelligent Procurement) . You will also work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top-notch research prototypes.

EXPECTATIONS AND TASKS

  • Collaborate with Machine Learning Business Development colleagues to identify new requests from customers and jointly work with the product teams.
  • Identify opportunities to embed Machine Learning capabilities in existing SAP procurement solutions.
  • Implement most recent algorithms and approaches for machine learning in collaboration with our data scientists and researchers
  • Initiates and participates 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 modelling 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 etc.
  • Be 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 QUALIFICATION

  • MS or PhD in Computer Science, Statistics, Applied Math or ML/AI related topics.
  • Strong background in Machine Learning (eg Statistics, Prediction/forecasting, Deep Learning, Computer Vision, NLP).
  • Experience in statistical modelling, machine learning, or data mining practice.
  • Research or work experience in Deep Learning, Computer Vision techniques and frameworks.
  • Hands-on development experiences.
  • Proficient in one or more programming languages such as Python, R, Java, C++.
  • Familiar with one or more machine learning or statistical modelling tools.
  • Strong Industry domain knowledge and experience preferred.
  • Experience with ML tools and packages such as TensorFlow, Keras, numpy is beneficial.
  • Strong Analytical capabilities.
  • Excellent written and communication skills in English.
  • Work onsite in Palo Alto, CA, local candidates preferred.

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: (see below) or (see below), APJ: (see below), EMEA: (see below) ). 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.

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Posted Date: 07 Dec 2019 Reference: JS236031-EN_US Company: SAP Contact: SAP