Job title: Data Scientist
Work Area: Software
Expected Travel: 0:10
Career Status: Professional
Employment Type: Permanent Full Time
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.
PURPOSE AND O ECTIVES
Our data science team is part of the IoT and Predictive Maintenance organization. We focus on big data ytics and predictive use cases, in close collaboration with customers.
Our teams (located in Walldorf and Palo Alto) are multi:disciplinary, with experts in web application and HANA development, data science, big data frameworks and platforms as well as design thinking. We run co:innovation projects with customers, partners and our entire ecosystem, where thinking outside the boundaries of SAPs traditional product landscape is key to success. Based on the learnings from our co:innovation projects, we build standard products that deliver immense business value to our customers.
This job is a great opportunity to experience the latest technologies in a broad range, and apply them to real:world customer use cases.
EXPECTATIONS AND TASKS
:Lead and contribute to co:innovation projects with Internet of Things customers from various domains
:Work closely with customers to understand their business needs, collect requirements and translate customers business problems into quantitative models, and choose the best applicable statistical and ytical tools to drive a solution
:Take responsibility of preparing customer project plans, kick off meetings, status reports, change request and other project collateral, and monitor follow up projects
:Contribute in developing and implementing data science solutions for standard products in the areas of Internet of Things and Predictive Maintenance
:Design and develop predictive ytics pipeline and implement statistical models in standard/customized software products with SAP technologies such as SAP HANA Platform, SAP Predictive ytics, SAP HANA Predictive ysis Library (PAL), SAP Text ysis and Text Mining, SAP Lumira, SAP HANA Cloud Platform, SAP HANA Vora, SAP Data Services, and other open source tools such as R, Python and Hadoop/Spark
:Apply machine learning and data mining algorithms to extract patterns from structured, semi:structured and unstructured data, and make predictions to address business needs in the domain of Predictive Maintenance
:Provide reliable, scalable and maintainable data science solutions in customer projects and support customer development team and core development team in data science solution implementation and optimization
:Research and evaluate latest advances in data science technologies to determine the effectiveness of the solution and its feasibility of integration into existing predictive ytics solution package
:Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively delivering and communicating results to customers from diverse backgrounds
:Provide support to development team on design, coding, testing and quality assurance of complex product features
:Design and customize standard software product for client use with specific use cases, optimized quality, reliability and efficiency
:Coordinate with cross:functional teams in the execution of customer projects
:Support customer development team by transferring customer project specific knowledge and explanation of data science solutions
:Expertise and experience in the field of statistics,