Senior Data Scientist

Hace 24 horas

Colombia Mexico Argentina EPAM Systems Trabajo remoto Jornada completa

We're seeking an experienced Senior Data Scientist to become part of our organization. In this position, you'll have the chance to engage in purposeful, data-centric initiatives within a cooperative and progressive setting. As part of our team, 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 deliver meaningful results, this role provides an excellent foundation for career advancement.

Responsibilities

  • Create and build analytical models to meet business and technical goals
  • Work alongside cross-functional teams to ensure outputs are delivered punctually and satisfy quality benchmarks
  • Participate in strategic conversations, providing insights that influence the direction of data-related projects
  • Evaluate the work of teammates, offering helpful feedback to maintain high analytical standards
  • Identify and solve complicated analytical problems that emerge during project execution
  • Help develop junior colleagues by passing on knowledge that builds their capabilities
  • Engage in planning sessions, helping define scope and offering reliable time projections
  • Keep up with emerging developments in the field and incorporate useful new methods into regular work
  • Document essential methodologies and discoveries clearly to enable ongoing knowledge transfer
  • Partner with stakeholders to define clear goals and confirm finished work meets requirements

Requirements

  • At least 3 years of applicable work experience
  • Hands-on familiarity with AI concepts and tools, used to improve analytical outcomes
  • Robust expertise in Data Science, capable of deriving valuable insights from complicated 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 thorough analytical efforts
  • English proficiency at B2 level or above