Associate Project Manager 2
Date: Jul 20, 2026
Location: Hopkins, MN
Company: automation-1
Ref-Code: DE-60327100-EN-15-001
Work area: Consulting
Expected travel: 0% - 100%
Career status:
Employment type: Regular Full Time
COMPANY DESCRIPTION
SAP is the global market leader for business software and thus contributes a considerable part of the world's economic power grid. At SAP you get your chance to put your ideas into action with maximum impact.SAP is currently expanding a team that provides advanced analytics services to customers, helping them to improve their business results based on scientific analysis of large amounts of business data. One example for such a service is price optimization for retail stores: Retailers collect huge amounts of data on their pricing and related sales volumes. Mathematical models can predict future sales based on the price of a product and external factors (like the season of the year) and then determine the optimum price for each product to maximize profit. The underlying algorithm for such a price optimization can then be used to provide a continuous advisory service to the SAP customer, or it can become part of an SAP software product. A cornerstone of this SAP business is the data science team that drives innovation, develops new business optimization algorithms, and provides analytical services directly to our clients.
EXPECTATIONS AND TASKS
SAP offers young professionals or graduates the opportunity to boost their career, working in a high-performance development/consulting team that is focused on innovation in the intersection of business optimization, mathematics and software technology. A Data Scientist executes the mathematical modeling of our customers' business problems, develops algorithms and applications to solve these problems, and helps our customers directly to understand and implement the results of the analysis. In this role, the Data Scientist works 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. This position requires the ability to work and communicate as a part of a high performance team in an international environment. WHAT WE OFFER
- Intellectual challenge to solve some of the most complex business problems across all industries
- Opportunity to expand your skills in a scientific, technical and business dimension at the same time
- Stimulating work environment in a very international high caliber team
- Attractive compensation and career opportunities at one of Germany's premier employers
WORK EXPERIENCE
Technical experience is required in at least some of the following areas:
- Mathematical modeling, for example in: MatLab, Predictive Workbench/SPSS or R
- Programming: Java, C++, ABAP
- Software architectures: n-tier, SOA
- Database servers, for example: SAP HANA, Sybase ASE / ASA, ORACLE, MS SQL Server, IBM DB2
- Database programming: SQL, PL/SQL, T-SQL
- Data warehousing/reporting/ETL: SAP BusinessObjects
- Microsoft Office (Excel, PowerPoint)
EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES
For the Data Scientist position we are considering mainly young professionals or graduates with exceptionally high analytical problem-solving skills. A strong interest in scientific and technical work is required. Candidates are expected to quickly develop consulting capabilities on the job, with the ability to communicate effectively in an international team environment. The ideal candidate covers the following expertise areas: Background:
- Ph.D. in Mathematics, Physics, Computer Science or Informatics
- Strong in mathematics and statistics
- Software development experience Personal skills:
- Learn new mathematical or technical methods quickly and with little guidance
- Willingness to participate in the sales process as a subject matter expert
- Ability to deliver clear, concise presentations to non-scientific audiences
- High energy, clear goal orientation and strong work ethic; "can do" attitude
- Excellent verbal and written communication skills. Fluent English is a must, German is a plus Customer facing skills:
- Capture customer requirements and translate them into software specifications
- Explain complex information in a clear and precise manner
- Create and deliver professional presentations
Work area: Consulting
Expected travel: 0% - 100%
Career status:
Employment type: Regular Full Time
COMPANY DESCRIPTION
SAP is the global market leader for business software and thus contributes a considerable part of the world's economic power grid. At SAP you get your chance to put your ideas into action with maximum impact.SAP is currently expanding a team that provides advanced analytics services to customers, helping them to improve their business results based on scientific analysis of large amounts of business data. One example for such a service is price optimization for retail stores: Retailers collect huge amounts of data on their pricing and related sales volumes. Mathematical models can predict future sales based on the price of a product and external factors (like the season of the year) and then determine the optimum price for each product to maximize profit. The underlying algorithm for such a price optimization can then be used to provide a continuous advisory service to the SAP customer, or it can become part of an SAP software product. A cornerstone of this SAP business is the data science team that drives innovation, develops new business optimization algorithms, and provides analytical services directly to our clients.
EXPECTATIONS AND TASKS
SAP offers young professionals or graduates the opportunity to boost their career, working in a high-performance development/consulting team that is focused on innovation in the intersection of business optimization, mathematics and software technology. A Data Scientist executes the mathematical modeling of our customers' business problems, develops algorithms and applications to solve these problems, and helps our customers directly to understand and implement the results of the analysis. In this role, the Data Scientist works 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. This position requires the ability to work and communicate as a part of a high performance team in an international environment. WHAT WE OFFER
- Intellectual challenge to solve some of the most complex business problems across all industries
- Opportunity to expand your skills in a scientific, technical and business dimension at the same time
- Stimulating work environment in a very international high caliber team
- Attractive compensation and career opportunities at one of Germany's premier employers
WORK EXPERIENCE
Technical experience is required in at least some of the following areas:
- Mathematical modeling, for example in: MatLab, Predictive Workbench/SPSS or R
- Programming: Java, C++, ABAP
- Software architectures: n-tier, SOA
- Database servers, for example: SAP HANA, Sybase ASE / ASA, ORACLE, MS SQL Server, IBM DB2
- Database programming: SQL, PL/SQL, T-SQL
- Data warehousing/reporting/ETL: SAP BusinessObjects
- Microsoft Office (Excel, PowerPoint)
EDUCATION AND QUALIFICATION / SKILLS AND COMPETENCIES
For the Data Scientist position we are considering mainly young professionals or graduates with exceptionally high analytical problem-solving skills. A strong interest in scientific and technical work is required. Candidates are expected to quickly develop consulting capabilities on the job, with the ability to communicate effectively in an international team environment. The ideal candidate covers the following expertise areas: Background:
- Ph.D. in Mathematics, Physics, Computer Science or Informatics
- Strong in mathematics and statistics
- Software development experience Personal skills:
- Learn new mathematical or technical methods quickly and with little guidance
- Willingness to participate in the sales process as a subject matter expert
- Ability to deliver clear, concise presentations to non-scientific audiences
- High energy, clear goal orientation and strong work ethic; "can do" attitude
- Excellent verbal and written communication skills. Fluent English is a must, German is a plus Customer facing skills:
- Capture customer requirements and translate them into software specifications
- Explain complex information in a clear and precise manner
- Create and deliver professional presentations
Nearest Major Market: Minneapolis