Data Scientist Offline

At Grid Dynamics, we're all about digital transformation.
We are looking for Data Scientist to lead our projects.

We offer:
πŸ“Œ work as an individual entrepreneur (FOP)
πŸ“Œ remote work or in the office - you choose (our offices are located in Lviv, Kyiv, Dnipro and Kharkiv)
πŸ“Œ 20 days of vacation, 10 days of sick leave, medical insurance
πŸ“Œ provision of the necessary equipment for work
πŸ“Œ access to the educational platform
πŸ“Œ flexible work schedule
πŸ“Œ free English courses
 

What you’ll be doing

  • Drive cross functional data science projects to understand, predict and influence the behaviour of our users
  • Optimise our product by leveraging Machine Learning and advanced analytics.
  • Train, deploy and integrate production ready models
  • Design and evaluate A/B tests to validate hypothesis and measure the impact of our solutions
  • Collaborate closely with colleagues from Data Science and Analytics team, provide input and critical reviews to the projects executed by members of the team
  • Having day-to-day autonomy, discover where and when your help is needed most, help solving big-picture problems
  • Define and guide the organization’s data strategy by identifying opportunities for data-driven decision-making
  • Work closely with product managers, engineering teams, and business stakeholders to align data science initiatives with organizational goals and ensure successful implementation

 

The client is the largest pan-European online car market with around 1.5 million listings and more than 43,000 car dealer partners.
 

What you’ll bring / What We Need To See

  • Degree in a quantitative field (e.g. math, physics, computer science)
  • 5+ years of professional experience in a Data Scientist position
  • Proficiency in using Python for data analysis as well as development of production ready solutions
  • Extensive knowledge of at least one DL Framework (PyTorch, TensorFlow, JAX, MxNet)
  • Algorithms and DL fundamentals
  • Deep understanding as well as hands-on experience with commonly used advanced statistical and ML techniques
  • Familiarity with DevOps concepts such as CI/CD, Docker, Jenkins, and automation tools.
  • Excellent communication skills, ability to efficiently explain technical concepts, analytical results, etc to non-technical audiences
  • Ability to align data science initiatives with business goals, prioritize impactful projects, and foresee long-term implications of data-driven solutions
  • Strong time-management and organization skills for coordinating multiple initiatives and priorities.

 

Only candidates who are physically located in Ukraine will be considered!

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