Data Scientist – Data and Artificial Intelligence

Microsoft

Reading

Our group of passionate people strongly believe that Data is the new frontier to conquer. We are committed to an inclusive and diverse culture and together we help our top customers to transform their businesses by exploring their data and generating true business value. To help us achieve this goal, we are looking for Data Scientists joining our team.

Who Are You

You love to work within an international team on the latest technologies. You have a passion to help empower every person and every organization on the planet to achieve more through our AI solutions. As you are a keen learner, you are thrilled to continuously extend your mind, using and developing others’ ideas and you are always asking yourself what’s next. You have a desire to be on the edge of innovation and you are willing to help explore and invent the future. If this is you…then the time has never been better to contact us!

What You'll Do

With your passion you will motivate others and yourself to drive the vision of changing the world to a better one through the power of data. With your spirit and your ideas, you will strive to be a role model and help others to understand the advantage of the latest AI-technologies. You will act as an entrepreneur and as an evangelist internally and externally and will drive the value proposition of Data and Artificial Intelligence with every action you take.

What you could bring to the team

  • Experience with at least one of the ML related technologies (Azure ML, MLlib, H20, Scikit-learn, Various R Packages)
  • Hands on experience with either R or Python for both data prep and analysis
  • Demonstrated leadership in DS overall workflow and methodology supporting the need to move systems into production and support.
  • Demonstrated leadership in mentoring and training other Data Scientists .
  • Demonstrated client facing experience.
  • Working knowledge of emerging domains such as deep learning including frameworks such as CNTK, Tensorflow, Keras, Gluon, MXNet etc… and distributed analytics on edge in IoT context.
  • Familiarity with AWS or the Microsoft Azure platforms is a plus
  • Familiar with map reduce framework, and parallel/distributed processing such as Hadoop/Spark/Dryad/Scope
  • Analytical tools, languages, or libraries: SAS, SPSS, Apache Mahout
  • Other Languages: Java, F#, C#, C++
  • Fluency in English (spoken and written); for location in Germany - fluency in German, for location in France - fluency in French;

The job may require travel between 25% and 50%.


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