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Data Analysis & Data Engineering & Data Science

Data Analysis & Data Engineering & Data Science
Job ID: DEV001
Location: Cologne / Hannover, Germany

We are looking for data engineers and data scientists who are passionate about subjects such as information retrieval, distributed computing, artificial intelligence and natural language processing.

Your Tasks
  • Building innovative artificial intelligence and machine learning solutions.
  • Development of recommendation engines, web and text data mining under the use of natural language understanding models, application of network and graph analysis algorithms and tools, deep neural network learning.
  • End-to-end design and implementation of data analysis systems; These include data collection, requirements engineering and specification, as well as the design of technical solutions based on business requirements.
  • Identify ways to design and implement Internet-scale Data Mining solutions in close collaboration with other Data Scientists and Data Engineers.
  • Development of ETL-pipelines for large complex data sets; Processing of structured and unstructured data with Spark, Hive, Kafka, Flume, Oozie etc.
  • Prototyping and implementing massively scaled data analytics solutions based on Big Data tools (Hadoop, Spark, HIVE / Impala, SQL, H2O, Python, and R).
  • Working with cloud platforms (AWS, MS Azure and Google Computing Engine).

Your Profile
  • Master's Degree in Computer Science or similar quantitative degree programs such as Statistics, Operations Research, Bioinformatics, Mathematics or Physics
  • 1 year experience in machine learning and artificial intelligence
  • 1 year relevant experience in data analysis (statistics / data science)
  • Experience with one or more general purpose programming languages, including, but not limited to Java, C / C ++, Python, Scala or R
  • Fluent German and / or English
Preferred Qualifications:
  • Master in Computer Science, Artificial Intelligence, Machine Learning or similar technical fields
  • Experience in one or more of the following topics: Natural Language Processing and Understanding, Classification, Pattern Recognition and Referral Systems
  • Experience in handling large amounts of data, eg. Social network data, scientific data, sensor data, etc.
  • Experience in the application of machine learning on large data sets
  • Proven programming experience in at least one programming language, such as Java, Scala, C ++, or a similar object-oriented language

We Offer You

You can expect a stimulating and challenging working atmosphere with a flat hierarchy and experienced and helpful colleagues. Here at Qimia, we rely on comprehensive training and education of our Engineers / Data Scientists.

Topics that we cover in our training:
  • Hadoop DevOps Training: installation and configuration of Hadoop distributions (Cloudera and Hortonworks); Development with the most important Hadoop frameworks, MapReduce, Spark, Hive, Hbase and Oozie etc.
  • Big Data Science: Python Machine Learning Libs (NumPy, SciPy, Pandas, IPython, Scikit-Learn, Theano, TensorFlow, NLTK), Spark for Data Mining, and Machine Learning (Spark SQL, Spark MLlib, PySpark, GraphFrames, and H2O)
  • Deep Neural Networks: Feed-Forward Neural Networks, Convolutional Networks, Recurrent Neural Networks, Development of Production Prepare TensorFlow and DL4J Solutions
  • Data Science and Machine Learning Basics: Time Series and Sequential Data Processing, Supervised and Unsupervised Machine Learning, Classification, Logistic Regression and Random Forest, Support Vector Machines, K-Nearest Neighbors, Naive Bayes and Gradient Boosting
  • Web and Text Mining: Natural Language Processing and Information Retrieval, Categorization and Automatic Tag / Keyword Extraction, Document Classification and Clustering, Entity Recognition, tf-idf, N-Gramm, word2vec and gensim etc.
  • In our training, we work intensively on current and past Kaggle competitions in the areas of Deep Learning, Predictive Analysis, Recommender Systems and Natural Language Understanding


Qimia GmbH
Brüsseler Str. 89-93, 50672 Köln
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