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Senior Data Scientist

EPAM Systems

Senior 🇬🇧 English
Python Java AI concepts Mathematics Statistics Computer Science

Descripcion del puesto

About the role

We are seeking a Senior Data Scientist to join our collaborative, forward‑thinking team. You will work on meaningful, data‑driven projects, uncovering insights from complex data while contributing to impactful solutions.

Key responsibilities

  • Design and implement analytical models that address business and technical objectives.
  • Collaborate with cross‑functional teams to ensure timely, high‑quality deliverables.
  • Contribute to strategic discussions and shape data‑focused initiatives.
  • Review peers' work, providing constructive feedback to uphold strong analytical practices.
  • Investigate and resolve complex analytical challenges throughout project lifecycles.
  • Mentor junior team members and share knowledge to strengthen their skills.
  • Participate in planning, scope definition, and accurate time estimation.
  • Maintain clear documentation of methodologies and findings for long‑term knowledge sharing.

Required profile

  • Minimum of 3 years of relevant professional experience.
  • Fluent English communication skills at B2 level or higher.
  • Strong background in Data Science with ability to extract meaningful insights from complex datasets.
  • Solid foundation in Mathematics, Statistics, and Computer Science.

Required skills

  • Proficiency in Python for building and implementing data‑driven models.
  • Experience with Java for developing and integrating data‑related applications.
  • Practical knowledge of AI concepts and tools applied to analytical solutions.

What we offer

  • International projects with top brands and global teams.
  • Healthcare benefits and employee financial programs.
  • Paid time off, sick leave, and upskilling opportunities.
  • Unlimited access to LinkedIn Learning library and 22,000+ courses.
  • Global career opportunities and volunteer/community involvement.
  • Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn.

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