Lead Data Scientist - Computer Vision
EPAM Systems
Iasi, Romania
6 zile în urmă
source : Just Join IT

RDBMS (advanced)

Machine Learning (master)

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities.

We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

You can work remotely or join one of our offices, which are located in Warsaw, Krakow, Katowice, Wroclaw and Gdansk.

The remote option applies only to the Candidates who will be working from any location in Poland.


Currently we are looking for a Lead Data Scientist Computer Vision . We support Employment Contract or B2B, depending on your preference.

This job is about turning data into actionable knowledge, which requires a blend of scientific, problem solving, analytical, technical, and communication skills.

The role is primarily focused on (but is not limited to) solving business problems in the technological domain of Computer Vision.


  • Identify the business problems and find the right data and methods to address them
  • Process large volumes of structured and unstructured customer data using advanced analytical solutions
  • Turn analysed data into unique actionable insights and business value
  • Propose holistic and sophisticated Data Science solutions for business problems
  • Translate requirements and acceptance criteria into ML implementations
  • Create Data Science solution architecture
  • Estimate, plan and coordinate the delivery of large projects
  • Tackle an extensive range of ML problems from the Computer Vision domain
  • Communicate effectively with different departments and roles (stakeholders, product managers, engineers) to discuss complex data-driven findings and technical matters
  • Tell stories back to business through stunning data visualisations
  • Provide hands-on leadership, coaching, and mentoring to Middle and Senior Data Scientists

  • 5+ years of relevant experience; experience and knowledge of various framework / modelling and hypotheses testing techniques and methods
  • Ability to build models or frameworks accurately reflecting various aspects of business problems
  • Up-to-date knowledge in the research field, At least, one advanced topic (Video processing, GANs, Self-supervised approaches, Transformers, 3D, Point clouds, etc.)
  • Capable of designing and building systems that utilize multiple CV components (e.g. Face ID detection (tracking) >
  • key point alignment >


  • Experience with end-to-end ML systems in the cloud, including data processing of both structured and unstructured data, feature engineering, training, tuning, and productization of ML models
  • Proficiency with, at least, one of the Cloud providers
  • Ability to play a role of Project Coordinator for small and middle-sized Data Science teams. Ability to be self-manageable, and work with minimal supervision

  • 1+ years of experience leading delivery teams in the Data Science field
  • Data focused applied mathematics (statistical analysis, machine learning)
  • Decent communication / presentation skills (including working English fluency)
  • Big Data stack; Spark / MLlib; CI / CD, MLFlow
  • Passion for researching, learning, and creating new techniques and methodologies
  • Willingness to go the extra mile with a strong work ethic
  • Ability to handle strict deadlines and multiple tasks

  • Vast opportunities for self-development : online courses and library, experience exchange with colleagues around the world, partial grant of certification
  • English language classes
  • Polish language classes for Foreigners
  • Career development center
  • Unlimited access to LinkedIn learning solutions
  • Possibility to relocate for short and long-term projects (ex. to USA or Switzerland)
  • Benefit package (private insurance, health care, multisport, lunch tickets, and shopping vouchers, etc.)
  • Possibility to be involved in an international project
  • Remote work options
  • Mentoring programs with experts that will help you to grow
  • Discount on Apple products up to 10%
  • Relocation package for foreign applicants as well as for people relocating within Poland
  • Employment Contract or B2B, depending on your preferences
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