Senior Data Scientist

XCritical Software
👨‍💻 Можно удаленно


от 250 000 ₽ до 400 000 ₽

Описание вакансии

We are looking for a Senior Data Scientist to help us blaze some trails and lead our growing efforts in data science, machine learning, and R&D. You’ll lead our R&D squad within our Data Products team, combining techniques in deep learning, reinforcement learning, NLP and more to deliver value to our customers with machine learning and data backed insights.

What you’ll be doing:

  • you’ll be part of a diverse, cross-functional team of Data Scientists, Machine Learning Engineers, Developers, Analysts, Product Managers and UX Designers
  • you’ll focus on driving machine learning research into a variety of areas focused around empowering our customers to create high converting content, optimize their ad campaigns, and provide data driven insights to increase their ROI
  • you’ll be exposed to a wide array of machine learning areas, such as cutting-edge NLP utilizing attention based and generative models, image analysis and reinforcement learning
  • you’ll help Data Products plan it’s overall strategy, vision and planning

A little bit about you:

  • 3 or more years of experience working with machine learning and data science
  • experience leading major projects and managing junior team members
  • experience with one or more deep learning technologies and frameworks (NLP, image analysis, generative models)
  • programming with Python and the associated data science/machine learning packages (e.g. scikit-learn, pandas, xgboost, numpy, scipy, pytorch or tensorflow)
  • relational databases (we principally use MySQL and Postgres)
  • Agile development, version control, and code review processes
  • you can communicate clearly and empathetically with developers, product managers, and UX designers to explain the abilities and limitations of ML systems
  • You are not afraid to ask questions to find the best solution and are equally unafraid to have your ideas challenged


  • ability to influence project technologies;
  • possibility of career growth;
  • insurance, corporate English, sports compensation;
  • friendly team without hierarchy inside;
  • corporate events;
  • competitive remuneration
Размещено 19/11/2021

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