Data Scientist

Reference Number: RtdCrK
Location: New Jersey, US

As a data scientist with a strong background in analytics-relevant information technology, you will serve as an internal software developer in the area of business and data analytics. You will lead, execute, and coordinate innovative data analytics projects and establishing sustainable IT solutions, including data modelling and user interface creation. You will communicate the ideas and solutions to a broad community of non-data scientists.



  • Take responsibility, drive new developments, and work creatively on challenging and groundbreaking development tasks
  • Initiate the development of customized business and data analytics solutions, and liaise within the Advanced Business Analytics team entire company community.
  • Transfer innovative solutions from a piloting phase into a sustainable and scalable software solution for global and cross-business usage.
  • Mentor and coach other team members and support their functions by providing expertise and insights into data and computer science.
  • Liaise with internal business and corporate units, and translate their analytical needs into initiatives.

Our Value:


The rewards that you receive as an employee go way beyond a paycheck. From competitive health and insurance plans, to retirement benefits that include company-matching contributions, to making sure you never stop learning, this company believes that investing in you is investing in their success. You will have a chance to grow professionally and personally, expand your network and build a rewarding and dynamic career.


Position Requirements:

  • Master’s degree in Computer Science/Data Science/Information Systems or a related discipline
  • Minimum of 3 years of relevant professional work experience


  • Bachelor’s degree in Computer Science/Data Science/Information Systems or a related discipline
  • Minimum of 6 years of relevant professional work experience
  • A minimum of 3 years of experience with databases and SQL, with SAP applications and Analytics such as SAP HANA, with data warehousing, data management, and Big Data technologies, as well as lifecycle management of software solutions
  • Deep understanding of one or more of the following areas: Hadoop (e.g., HDFS, MapReduce, Hive, Yarn, Flume, Storm), Spark, Kafka, and ActiveMQ
  • Have superior understanding of internal and external data needs in industrial business processes, with ability to communicate ideas and solutions to non-data science experts within the company
Experienced Professional (Non-Manager)