Senior Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job 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.

Location: Newport Beach, CA

Purpose and Objective:
SAP America, Inc seeks a Senior Data Scientist at our Newport Beach, CA location responsible to execute the mathematical modeling of our customers’ business problems, develop algorithms, data mining flows and applications to solve these problems, and help our customers directly to understand and implement the results of the analysis.

Expectations and Tasks: 
Work directly with industry experts and technology experts to translate our customers’ business needs into mathematical models and present and deliver a solution to the client. Act as a supporter and expert advisor to SAP’s sales force in order to generate new customer business in the area of data science. Responsible for work packages related to Data Mining topics or acts as a key contributor. Design datamining methods and integrate or implement these into products. Create prototypes and work closely with the engineering team to deliver them as features into the product. Evaluate and define test strategies for delivering high quality product features / capabilities of the product. Evaluate and test data mining methods and maintains a high level of quality. Create data definitions and contribute to data storage infrastructure for data mining purposes and to Data Mining architectures. Resolves data mining performance issues and monitors data mining system performance and implements efficiency improvements. Implements data mining algorithms if required. Work closely with product management, application developers, Information developers and end users. Perform functional and empirical analysis on data mining topics. Conduct research on data mining tools and algorithms, implement prototypes and data mining algorithms and validate them on real data. Create best practices for data mining topics and collaborates with development, universities, and research institutes. Has advanced overall data mining/machine learning and technical knowledge (e.g. in programming, data mining tools, Big Data technologies) and experience which is shared within and across teams.

Education and Qualifications/Skills and Competencies: 
Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics or related field of study and 6 years of experience required. The company will also accept a Master's degree and 4 years of experience.
 

Work Experience: 
Experience must involve 2 years in the following: Python development; SQL Database; NoSQL database; data modeling; and Big data experience. Experience must also include: Java development; Microservices architecture; Cloud development; and data lake and ingestion workflows.