Location

Санкт-Петербург

English level

Intermediate +

Your Mission 

In this role of Data Scientist / Engineer you are part of a small team developing a prototype for a new business idea with the goal to come up with a final product. We are implementing this product using Python, based on the Azure Deep Learning infrastructure.

You will apply your practical experience in processing large amounts of tabular and image data. You have a deep understanding of machine learning algorithms, and the ability to write code to explore problems and understand data.

You want to take ownership in solving a challenging real-world problem at a large scale.

Your Profile
  • You hold a BSc, MSc or PhD in Computer Science, Statistics, Mathematics, Physics or related technical field
  • Ideally you have several years of experience in using data mining /data analysis methods and building and implementing models
  • You can work independently; you are fast and reliable. And you are proactive and take ownership
  • You have a proven understanding and experience with Deep Learning and state-of-the-art machine learning concepts. You know how to use frameworks like Keras, Tensorflow, Torch or similar
  • You have experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc)
  • You are a proficient programmer/coder in Python. Programming skills in R, C#/C++, Java are an advantage. With respect to Python you know how to use numpy, pandas, scikit-learn and image processing packages
What is nice to have
  • Know-how of state-of-the-art AI Computer Vision Algorithms (CNNs, Object Detection, Image Segmentation, Image Classification)
  • Experience with Azure DevOps (Infrastructure, Scaling, Deployment, Docker, GPUs, …)
  • Experience with geographical tools and APIs such as GIS (QGIS, GDAL, …), OpenStreetMap APIs or Google Maps APIs
What You will get working with us
  • A high level of personal responsibility in a dynamic environment with room for individual development and personal growth
  • Official competitive salaries, which we for sure discuss on the interview
  • Company health insurance scheme after trial period with travel insurance and "office doctor"
  • Flexible working hours, remote work once a week after trial period
  • Business trips to Zurich, Switzerland
  • Reimbursement of expenses of employee's self-education (trainings, conferences, etc.)
  • Comfortable office with kitchen, cookies, fruits, rooftop terrace, a pull-up bar, kicker, bicycle parking, shops in 2 minutes' walking distance, fitness club in the office building. Yes, it is an open-space but very cozy, green and quiet
  • Fitness club membership, health insurance for a relative, workplace upgrade
  • English and German language courses
  • Free shuttle bus to/from Moscovskaya metro station
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