1 day old
2018-07-162018-08-15

Senior Data Scientist Job

SAP
  • Job Code
    184173
Senior Data Scientist Job

Senior Data Scientist Job

Date: Jun 27, 2018

City: Palo Alto, CA, US

Company: SAP

Requisition ID: 184173
Work Area: Software-Design and Development
Expected Travel: 0 - 10%
Career Status: Management
Employment Type: Regular Full Time

 

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.

 

EXPECTATIONS AND TASKS

 

As part of the Digital Supply Chain Management – Emerging Technology team, you will work together with a team of dedicated experts including researchers, developers, devops engineers and architects with a single goal of building best machine learning for a variety of use cases in supply chain management. You will work against fixed timelines and your success will be measured by the ability to deliver solutions matching the performance of top notch research prototypes. Your tasks include:

Your tasks include:
• Push the frontiers of what is possible in the area of machine learning so as to create new solutions
• Explore, understand, and implement most recent algorithms and approaches for supervised and unsupervised machine learning and deep learning
• Comfortably handle multi-terabyte data sets in scale-up and scale-out environments
• Understand business processes which create and consume data to be able to select best approaches, evaluate their performance and assess business relevance
• Create excellence both in terms of results quality and system scalability through continuous evaluation, analysis and refinement of the system implementation
• 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
• Working together with partners and customers
• Solve complex integration issues
• Ability to work in global teams with different time zones
• Immerse yourself quickly into new topics, terminology and development tasks

 

WORK EXPERIENCE


At least 3 years of experience in deep learning / machine learning / data science development projects with a focus on innovation. At least 2 years of hands-on experience in building machine learning-based products. Proficient knowledge and track record of applying modern deep learning concepts.

 

EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES


You are a self-starter, goal-oriented, striving for perfection. As an ideal candidate you will demonstrate a proven track record in development of large-scale machine learning / deep learning pipelines and combine it with curiosity for exploring of new use case and applications of machine learning / deep learning to domains spanning processing of video, structured and unstructured data. Ideally you bring breadth across all verticals (image, text, structured / time series data) with a depth in one of them.
Required
• Degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research or related field
• Track record of developing novel learning algorithms and/or systems
• Proficiency in handling of multi-terabyte datasets in big data frameworks
• Experience with Machine and Deep Learning software packages & libraries such as Caffe, Torch, Theano, TensorFlow, Scikit-learn, DeepLearning4j etc; programming languages such as Python, C++, Java, Scala etc.
• Ability to visualize data and present core insights in a clear and compelling way
• Strong desire to overcome obstacles and make your work benefit SAP's customers
• Ability to understand business processes and drive to solve business problems
• Excellent written and communication skills in English language
Optional
• Publication track record on deep learning / machine learning
• Post-Graduate or PhD degree in Computer Science, Mathematics, Statistics, Operations Research or related field

 

Job Segment: Developer, Deep Learning, Machine Learning, Artificial Intelligence, Data science development

 

 

WHAT YOU GET FROM US
Success is what you make it. At SAP, we help you make it your own.
A career at SAP can open many doors for you. If you’re searching for a company that’s dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment – apply now.

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: or , APJ: , EMEA: ). Requests for reasonable accommodation will be considered on a case-by-case basis. Successful candidates might be required to undergo a background verification with an external vendor.

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.

Successful candidates might be required to undergo a background verification with an external vendor.
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