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Senior Data Scientist

Role overview

Qualifications

  • Minimum 3 years of relevant professional experience
  • Practical familiarity with AI concepts and tools
  • Demonstrated strength in Data Science
  • Python proficiency for building models

Responsibilities

  • Create and implement analytical models aligned with business objectives
  • Collaborate with cross-functional partners to deliver on time
  • Provide input in strategic discussions to influence data initiatives
  • Coach junior colleagues through knowledge sharing

Key facts

Hard skills

Other skills

  • Mathematics
  • Analytical Thinking
  • Collaboration
  • Problem Solving
  • Coaching

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.

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Job description

We are hiring a Senior Data Scientist to apply AI and Data Science expertise to transform messy, high-volume data into dependable insights for decision-making. You will collaborate across teams, document methods, and help guide planning while maintaining strong analytical standards. Submit your application to make an impact with data-driven solutions! Responsibilities Create and implement analytical models aligned with business and technical objectives Collaborate with cross-functional partners to deliver on time and meet quality expectations Provide input in strategic discussions to influence the direction of data initiatives Evaluate peer deliverables and offer actionable feedback to uphold analytical best practices Troubleshoot and resolve challenging analytical problems throughout project delivery Coach junior colleagues through knowledge sharing that supports their growth Contribute to scope planning and produce reliable effort and timeline estimates Keep up with new developments in the field and incorporate useful approaches into your work Document key methods and findings clearly to enable long-term knowledge sharing Engage stakeholders to define goals and confirm deliverables match expectations Requirements Minimum 3 years of relevant professional experience Practical familiarity with AI concepts and tools used to enhance analytical outcomes Demonstrated strength in Data Science and the ability to interpret complex datasets effectively Python proficiency for building and implementing models and data-driven solutions Java experience for developing and integrating applications that work with data Strong grounding in Mathematics, Statistics, and Computer Science for rigorous analytical work English fluency at B2 (Upper-Intermediate) level or higher, both written and spoken

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