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Lead Data Scientist

Role overview

Qualifications

  • At least 5 years of relevant professional experience
  • Hands-on familiarity with AI concepts and tools
  • Robust background in Data Science
  • Fluent English communication abilities at B2 level or above

Responsibilities

  • Design and implement analytical models addressing business and technical goals
  • Partner with cross-functional teams to ensure deliverables are finished punctually and meet quality benchmarks
  • Participate in strategic conversations, providing input that helps guide data-focused initiatives
  • Evaluate colleagues' work, offering constructive feedback to maintain sound analytical standards

Key facts

Hard skills

Other skills

  • Mathematics
  • Communication

About the company

EPAM Systems logo

EPAM Systems

IT Services & IT Consulting

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.

Company details

Company typeXLarge
IndustryIT Services & IT Consulting
Company size10001

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Job description

We're seeking an experienced Lead Data Scientist to become part of our organization. In this position, you'll have the chance to engage in purposeful, data-centered initiatives inside a cooperative and innovative setting. As a team member, you'll join colleagues who prioritize analytical precision, ongoing education, and the hands-on use of current technology. For those enthusiastic about extracting insights from intricate data and helping build impactful solutions, this role provides a solid foundation for career development. Responsibilities Design and implement analytical models addressing business and technical goals Partner with cross-functional teams to ensure deliverables are finished punctually and meet quality benchmarks Participate in strategic conversations, providing input that helps guide data-focused initiatives Evaluate colleagues' work, offering constructive feedback to maintain sound analytical standards Explore and address complex analytical issues that emerge during the project lifecycle Help junior team members grow by sharing knowledge that builds their capabilities Engage in planning sessions, helping define scope and offering accurate time estimates Keep up with emerging trends in the field and incorporate useful new methods into daily tasks Keep thorough documentation of essential methodologies and findings to enable long-term knowledge transfer Collaborate closely with stakeholders to set clear goals and ensure finished work meets expectations Requirements At least 5 years of relevant professional experience Hands-on familiarity with AI concepts and tools, used to improve analytical solutions Robust background in Data Science, capable of deriving meaningful insights from complex datasets Skilled in Python for creating and deploying data-driven models and solutions Background in Java for building and integrating data-related applications Strong grounding in Mathematics, Statistics, and Computer Science to underpin rigorous analytical work Fluent English communication abilities at B2 level or above

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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