Remote Senior Data and Web Analyst job | EPAM Anywhere

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Senior Data and Web Analyst for an Information Services Company

Senior Data and Web Analyst for an Information Services Company 40 hrs/week, 12+ months

Currently, we are looking for a remote Senior Data Analyst with 4+ years of professional experience in data science and strong programming skills in Python to join our team.

The customer is a data and information services company that caters to a variety of industries including automotive, energy, financial services, defense and maritime.

Please note that even though you are applying for this position, you may be offered other projects to join within EPAM Anywhere.

Responsibilities

  • Technically lead the team of data scientists and ML engineers to develop production ready components based on recent SOTA approaches for CV and NLP
    • Hands-on researching, prototyping and building content understanding pipelines and working models as their components, including state of art neural architectures in combined Computer Vision and Natural Language Processing domains – data augmentation, model selection, pre-training, optimization, etc.
      • Converting business problems to data science tasks collaborating with Product and Project managers
        • Defining and/or influencing the strategy of research-intensive projects, including goal metrics, development process, toolsets and communications for optimal progress
          • Hunting for quality datasets, including driving the development of datasets from scratch
            • Learning and sharing new things around ML/DL for CV and NLP to keep the AI team on the cutting edge

              Requirements

              • Degree in data science, math & computer science, statistics or related field
                • 4+ years of professional experience in data science and deep learning with application to Computer Vision and/or Natural Language Processing
                  • Soft skills of a technical leader for the team (communication, engagement, patience, motivation, integrity)
                    • Strong programming skills in Python
                      • Strong practical experience in building of own DL models with TensorFlow, Keras and/or PyTorch, etc.
                        • Developed skills in algorithms and data structures
                          • Solid understanding of statistics and math behind deep learning
                            • English language (B1+)

                              Nice to have

                              • Application of Computer Vision to Document Understanding (OCR, object detection, text embedding with custom pre-training or other)
                                • Strong experience with data analysis tools
                                  • PhD degree in related field
                                    • Publications in related domain
                                      • Linux user experience

                                        We offer

                                        • Competitive compensation depending on experience and skills
                                          • Work on enterprise-level projects on a long-term basis
                                            • Full-time remote work
                                              • Unlimited access to learning resources (EPAM training courses, English classes, Internal Library)
                                                • Community of 38,000+ industry's top professionals
                                                  Data Analytics and Visualization
                                                  Data Science
                                                  Python.Core

                                                  40 hrs/week

                                                  Hours per week

                                                  12+ months

                                                  Project length

                                                  Belarus, Russia, Ukraine

                                                  Locations eligible for the position