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14.09.2020

www.qimia.de


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

Apply

Qimia GmbH
Brüsseler Str. 89-93, 50672 Köln
E-Mail: contact@qimia.de
 
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