EPAM Systems

EPAM Systems

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4 días
Expira 27/08/2026

Data Science Consultant

Data Science Consultant

Overview

As a Data Science Consultant, you will provide technical leadership and strategic expertise in machine learning and artificial intelligence, guiding the design and implementation of advanced ML/AI solutions for clients. This role connects business needs with innovative AI technologies, ensuring impactful delivery.

Responsibilities

  • Provide technical leadership and strategic direction in ML and AI for client engagements.
  • Design and deliver responsible AI systems aligned with client objectives.
  • Drive AI adoption across organizational verticals.
  • Engage with clients to address business challenges with ML/AI solutions.
  • Collaborate with data scientists and engineers, mentoring teams.
  • Monitor ML/AI advancements and recommend approaches.
  • Liaison between business, legal and technology stakeholders.
  • Shape ML solutions and lead transitions from sales to delivery phases.
  • Foster strong client relationships.
  • Support sales and pre-sales activities.

Requirements

  • 12+ years in a leadership role in Data Analytics, Machine Learning and AI.
  • Proven track record in ML/AI solution design and implementation.
  • Deep understanding of machine learning concepts.
  • Experience leading multidisciplinary teams.
  • Ability to influence senior stakeholders.
  • Proficiency in Python and ML libraries such as PyTorch and TensorFlow.
  • Skills in SQL and cloud platforms.
  • Familiarity with regulated industries.
  • Excellent problem-solving skills.

We Offer

  • International projects with top brands.
  • Work in global teams of skilled peers.
  • Healthcare benefits.
  • Employee financial programs.
  • Paid time off and sick leave.
  • Upskilling and certification courses.
  • Access to LinkedIn Learning library.
  • Global career opportunities.
  • Community involvement opportunities.
  • Award-winning culture recognized by various platforms.

Equal Opportunity

EPAM is an Equal Opportunity Employer, ensuring consideration for all qualified applicants regardless of diverse backgrounds.