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Data Scientist (m/f)

octimine technologies GmbH

Kellerstr. 27, 81667 - München


Frühestmöglicher Eintrittstermin: Januar 2017

Anstellungsverhältnis: Vollzeit

Berufserfahrung: Mit Berufserfahrung

Munich office, immediately

Who we are

Imagine a company that can analyze the technical knowledge of the world in just a few seconds and revolutionizes the world of technology data analytics – this is what octimine technologies does. Founded by former scientists of LMU Munich and the Max Planck Institute, our SaaS products support international tech companies with their innovation and patent analytics tasks. Octimine is a young, smart and dynamic start-up in the middle of a growth and internationalization phase. We are part of the German Accelerator and also located in Silicon Valley. We are looking for data enthusiasts, data cruncher, and everybody who is ready to handle more than 100 million patent documents.

What to expect at octimine

  • Challenging data projects with patent, science & company data – structured and unstructured
  • Design and implementation of efficient solutions for the use of structured data with Apache Hadoop & Spark, SQL –, NoSQL – and graph databases
  • Use of deep learning algorithms to improve our data quality
  • Use of agile practices and short decision-making processes
  • Dynamic & international start-up atmosphere with flat hierarchies
  • Disrupting an industry and having significant impact

What we expect from you

  • University degree in computer science (top 25%) or equivalent qualification.
  • Data geek - minimum 5 years of experience in the fields of software development and databases (SQL, NoSQL)
  • Good scripting skills in Bash, JAVA, Python
  • Practical or theoretical experience with various big data technologies such as Hadoop, Spark, MapReduce, Hive, HBase
  • Experience with Linux Server
  • Knowledge of Elastic Search, Apache Solr, Lucene would be beneficial

Ready for disruption? Send your complete application documents to:

Constantin Bahlmann, jobs@octimine.com

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