Data Scientist – Search and Analytics, Data Analysis and Machine Learning
You design and build the reporting aspects of our log management and network data security products working in close collaboration with product management
You take part in the full product development life-cycle from investigation to the development of novel and scalable prototypes.
You support all phases until the release of the product, interfacing with a wide range of experts in the field.
Our technology stack includes Python, Java, R, C as well as a wide range of internal tools built on top of Docker, Flume, Elasticsearch, Redis, InfluxDB and a variety of front-end visualization technologies (D3.js, Loopback.js, HTML5, TensorFlow).
3+ years of developing or research experience on machine learning and data analysis.
Master in mathematics, statistics, computer science, robotics or machine learning or similar education or strong work experience.
PhD in mathematics, statistics, computer science, robotics or machine learning is a strong plus.
Strong background in classical machine learning (SVM, Regression, Neural Network, K-means etc.) is a must.
R, Python or Matlab including the respective machine learning frameworks.
Background in graphical models and optimization is a plus.
Ability to manipulate large-scale structured datasets.
Knowledge of deep learning is a strong plus.
Experience with deep learning libraries (TensorFlow, Caffe, Theano, etc.) is a plus.
Fluency in either English or German.
What we offer
Exciting intellectual challenges in real world computer networking.
Start-up environment where your energy and talents can make a difference.
An office located in the center of Leipzig, one of the most vibrant cities in Germany.
Influence in our growing team.
Comprehensive job training and education program, such as support attending top conferences.
Friendly working conditions and company activities, e.g., squash.
All the beverages you can drink, of course, including coffee, tea, Club Mate, Beer and many more.
Fresh fruits and a bright and wide kitchen.
Very competitive remuneration package and relocation support.