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Senior Data Scientist - Computer Vision (Relocation to Poland) Armenia or Remote

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Senior Data Scientist - Computer Vision (Relocation to Poland) Description

Job #: 77884
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.

The remote option applies only to Candidates who will work from any location in Poland.

DESCRIPTION


Currently we are looking for a Senior 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.

Responsibilities

  • 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
  • Create high-quality data visualizations
  • Create data pipelines for feature engineering, missing values treatment, outliers' detection, etc
  • Perform research, statistical analysis, hypothesis testing, and experimentation, build predictive ML models across a broad range of industries and data sources
  • Estimate, plan and coordinate the delivery of moderate sized projects
  • Evaluate and select the best matching Data Science tools and libraries
  • Communicate effectively with different departments and roles (stakeholders, product managers, engineers) to discuss complex data-driven findings and technical specifications Educate and train Junior and Middle Data Scientists

Requirements

  • 2-3+ years of relevant experience; experience working with a variety of information systems and data files, including large and complex (video) files
  • Strong knowledge of various data exploration and analysis techniques
  • Experience with one of the Deep Learning frameworks (PyTorch, Tensorflow)
  • Writing high-quality Python code according to PEP-8 guidelines
  • Advanced model / framework development and implementation skills in, at least, 1-2 areas: image classification, object detection, tracking and recognition, image segmentation, key point regression, etc., metric learning, landmarks/key point regression, pose estimation, etc
  • Knowledge of pros&cons of SOTA ML architectures and applicable use cases for them
  • Experience with ML services of cloud providers: AWS, Azure, or GCP
  • Ability to design and supervise data labelling process
  • Ability to interpret and report results of analyses, provide business recommendations; ability to coach and train others

Nice to have

  • Extensive knowledge of complex or advanced Computer Vision techniques; ability to think out of the box; ability to provide consultative support
  • Solid knowledge in Data Science models productization, knowledge in Big Data processing, understanding of Big Data architectures
  • Machine Learning Engineering mindset, experience with Docker, Linux, CI/CD, MLFlow, etc
  • Ability to play a role of Project Coordinator for small teams

We offer

  • 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
  • Participation in the Employee Stock Purchase Plan (ESPP), which gives eligible employees an opportunity to become a shareholder of EPAM by owning EPAM stock with at least a 15% discount
  • Please note that only selected candidates will be contacted

A day in the life

SALMAN TALAT
Account Manager
Toronto, Canada

IRYNA KOVALENKO
Delivery Manager
Kyiv, Ukraine

JAN MAZUREK 
Senior Business Analyst
Gdansk, Poland

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