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(Senior) Data Scientist - Machine Learning Incubation Job

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Date: Jul 28, 2017

Location: Berlin, BE, DE

Company: SAP

Requisition ID: 156477 
Work Area: Software-Design and Development 
Location: Berlin
Expected Travel: 0 - 10% 
Career Status: Professional 
Employment Type: Regular Full Time 

 

COMPANY DESCRIPTION

SAP’s vision is to help the world run better and improve people’s lives.

As the cloud company powered by SAP HANA®, SAP is a market leader in enterprise application software, helping companies of all sizes and industries run better. SAP empowers people and organizations to work together more efficiently and use business insight more effectively. SAP applications and services enable our customers to operate profitably, adapt continuously, and grow sustainably.

At SAP, we believe in the power of collaboration and empower our employees to perform at their best in an environment that encourages free and open expression of ideas. You’ll work alongside creative thinkers who share your interests, while turning big ideas into reality for our customers. With innovative job training, mentors to help you grow, and the flexibility to balance your work and personal life, you’ll be able to get more out of your career. It’s no wonder that some of the sharpest minds from around the world are working for a company that is consistently recognized as a global top employer.

Now it’s your turn to take the next step and help make the world Run Simple.

ABOUT  SAP

As market leader in enterprise application software, SAP helps companies of all sizes and industries run better. From back office to boardroom, warehouse to storefront, 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.

 

PURPOSE AND OBJECTIVES

The SAP Innovation Center Network (ICN) is a strategic innovation entity within SAP, combining software engineering excellence with thought leadership and entrepreneurial spirit. 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 concepts, we push the state-of-the-art in computer science and its applied fields to provide SAP with foresight into future trends. 

 

We are an agile, focused, startup-like team that works with and for customers to build real, fast and simple cloud-based solutions. To that end we deliver a machine learning, cloud-based solution that removes the administrative pains of starting and running a fast growing small to medium sized company. Our vision is to deliver future shaping machine learning, cloud-based solutions that will empower our customers to get things done.

 

This role combines: 
(1) experience with machine learning modeling and application on real world problem
(2) practical knowledge with scalable platforms for processing of huge data sets 
(3) ability to understand the data, associated processes and business implications 
(4) scaling from minimum viable product up to shippable production code 
(5) building and maintaining innovative new products from the ground-up. 

 

EXPECTATIONS AND TASKS

  • Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning
  • Communicate the relevance of implemented systems and achieved results in a visual and consistent way
  • Work closely with the team (product owner, designers and other developers) and customers to holistically understand business and user requirements, and derive adequate application development concepts
  • Performing quality assurance tasks and solve complex integration issues
  • Collaborate with partners and customers, which may be located in other time zones
  • Participate in the Scrum meetings, assist building a backlog of stories, estimating the required efforts

Perks:

  • Make strategic decisions with freedom to choose the best tool for the job
  • End-to-end, co-located team of ten in Berlin
  • Great salary & benefits

 

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES

Required:

  • Master's degree in Computer Science, Mathematics, Statistics, Operations Research or related field
  • Track record of developing novel (deep) machine learning algorithms and/or systems
  • Experience with Deep Learning software packages such as: Caffe/Torch/Theano/TensorFlow
  • Proficiency in handling of multi-terabyte datasets in distributed Linux/Unix environments
  • Ability to visualize data and communicate core insights in a clear and compelling way
  • Excellent cross-team and cross-discipline collaboration skills
  • Excellent English communication skills

Beneficial:

  • PhD degree in Computer Science, Mathematics, Statistics, Operations Research or related field
  • Peer reviewed publications in the area of (deep) machine learning

 

WORK EXPERIENCE

At least 3 years of professional work experience in deep learning / machine learning / data science development projects with hands-on experience in building machine learning-based products. Contribution to a least one ML-based product/service using NLP/computer vision is a must.

The position can be filled as part time position.

 

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, sensory 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 contact us at Careers.Germany@sap.com. Requests for reasonable accommodation will be considered on a case-by-case basis.


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