Data Scientist -Senior

Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.

Your Key Responsibilities

• Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
• Collaborate with internal and/or external clients to understand business requirements.
• Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
• Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
• Analyze data for instant feasibility cases and proofs of concepts.
• Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
  
  

Your Qualifications

• Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
• 3 to 5 years
  
  

As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.

Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.

www.schaeffler.com/careers

Your Contact

Schaeffler Technology Solutions India Pvt. Ltd.

Kalyani More

For technical questions, please contact this email address: [email protected]

Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization & Information Technology;