Siemens Careers

Financial Data Scientist

Norcross, Georgia
Customer Services

English (US)

Job Description

Division: Digital Factory
Business Unit: Country Division Controller
Requisition Number: 236917
Primary Location: United States-Georgia-Norcross
Assignment Category: Full-time regular
Experience Level: Mid level
Education Required Level: Bachelor's Degree
Travel Required: 5%

Division Description:

Siemens is a global technology powerhouse that has stood for engineering excellence, innovation, quality, reliability and internationality for more than 165 years. As a global technology company, Siemens is rigorously leveraging the advantages that this setup provides. To tap business opportunities in both new and established markets, the Company is organized in nine Divisions: Power and Gas, Wind Power and Renewables, Energy Management, Building Technologies, Mobility, Digital Factory, Process Industries and Drives, Healthcare and Financial Services.

The Siemens Digital Factory Division offers a comprehensive portfolio of seamlessly integrated hardware, software and technology-based services in order to support manufacturing companies worldwide in enhancing the flexibility and efficiency of their manufacturing processes and reducing the time to market of their products.

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Job Description:

The Siemens Motion Control Business Unit is seeking an entrepreneur in finance excellence that will be developing and implementing the digitalization of finance processes in the Business Unit in close cooperation with Division and Headquarter and managing the transformation of the current way of working within the teams.

  • As Financial Data Scientist you will be responsible for driving the digitalization of finance processes in the Business Unit in close cooperation with Division and Headquarter, establishing sustainable processes to support fast growing data volumes and ensuring data quality and data accessibility.
  • Providing complete financial transparency in an easily accessible way is your responsibility using the most effective business intelligence tools (ie Qlik, Tableau).
  • You will develop front end solutions for the dynamic usage of data, such as management cockpits or customer control towers, addressing the needs of the finance organization as well as other departments of the business. These front end visualizations are eye catching and storytelling.
  • You will create and implement financial analytical models using algorithms by utilizing modern approaches from the domains of machine learning and advanced data analytics in general to drive predictive and prescriptive analytics such as volume prediction or logistical reorder points.
  • As Financial Data Scientist you will be an integral part of the Controlling Vision to be implemented in the US across the businesses and you will be assigned to leading a divisional work stream. One aspect of this project is to review financial processes and to define ways of effectively optimizing the status quo.
  • You will work closely with HQ and Division to ensure solutions are following the corporate roadmap, while driving global solutions to an effective implementation in the region.
  • You will define IT requirements and drive implementation within the IT infrastructure.
  • You have an extensive knowledge about new technologies and with a proactive working style you keep yourself up to date about the latest state of the art digital solutions.


Required Knowledge/Skills, Education, and Experience


  • You hold a degree (Bachelor or Master) in computer or data science or in (applied) mathematics
  • You have over five years of professional experience in the field of data science, machine learning or statistics with an in-depth knowledge of large-scale data lifecycle management, distributed data management systems and big data analytics (data warehousing, business intelligence, Data Visualization techniques, SQL, NoSQL, graph databases, Hadoop/Hive, Spark, Python, R, Java);
  • You have a proven track record of digitalizing financial processes as well as the physical implementation of complex data models with an output oriented focus using tools such as Qlik, Tableau, etc.
  • You are extremely detail oriented, but able to synthesize complex topics for consumption by both executive management and colleagues.
  • You have demonstrated the ability to interact with interdisciplinary & international teams
  • Demonstrates strong sense of ownership and drives improvement throughout the entire organization
  • Team oriented; gets along well with others; strong sense of emotional awareness; builds constructive and effective relationships; uses diplomacy and tact; can diffuse even high-tension situations comfortably
  • Solid business acumen and ability to interact and communicate with all levels of Management within the Division
  • Ability to manage up, down, and in all directions without expressing authority; building appropriate rapport with colleagues at all levels of the organization
  • Demonstrably creative; comes up with new and unique ideas; easily makes connections among previously unrelated notions; tends to be seen as original and value-added in brainstorming settings


Desired Knowledge/Skills, Education, and Experience


  • It is desirable you are familiar with the Siemens internal IT structure, the tools such as Webfocus, Essbase, Hyperion 5.5 and current pursued digital solutions


Equal Employment Opportunity Statement
Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.

EEO is the Law
Applicants and employees are protected under Federal law from discrimination. To learn more, Click here.

Pay Transparency Non-Discrimination Provision
Siemens follows Executive Order 11246, including the Pay Transparency Nondiscrimination Provision. To learn more, Click here.

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