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Urgent! Chief Data Scientist Job Opening In Colombia, Colombia – Now Hiring EPAM Systems



Job description

EPAM is a leading global provider of digital platform engineering and development services.

We are committed to having a positive impact on our customers, our employees, and our communities.

We embrace a dynamic and inclusive culture.

Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.

No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Chief Data Scientist to join our team.

Responsibilities

  • Develop, optimize, and deploy advanced machine learning models and algorithms tailored to supply chain applications, such as demand forecasting, inventory optimization, network planning, and logistics improvements
  • Work closely with Supply Chain engineering teams to understand their data requirements, workflows, and technical constraints
  • Manage the full lifecycle of data science projects, from problem identification and data exploration to model implementation and performance tracking
  • Utilize expertise in Generative AI to build applications that integrate AI services
  • Apply advanced knowledge of time-series analysis, forecasting, and statistical modeling to supply chain and external data sources
  • Perform in-depth data analyses to uncover patterns, trends, and opportunities to enhance supply chain efficiency
  • Present insights, findings, and technical concepts to diverse audiences through clear and effective visualizations and narratives
  • Stay up-to-date on the latest advancements in AI and supply chain technologies, experimenting with innovative techniques and solutions
  • Design and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, testing, and performance evaluation

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a related field
  • At least 7 years of experience in data science and machine learning, with a focus on supply chain applications
  • A minimum of 2 years of experience leading and managing teams, with the ability to drive technical direction, enforce best practices, and deliver high-quality outcomes
  • Participation in at least 2 full-cycle projects or involvement in multiple projects across different stages of the development lifecycle
  • Expertise in cloud platforms such as AWS, Azure, or GCP, along with experience using machine learning tools like MLFlow
  • Advanced proficiency in relational SQL databases and NoSQL systems
  • Strong programming skills in languages such as Python, R, Scala, or Rust, with experience using machine learning libraries and frameworks
  • Deep understanding of supply chain principles, processes, and data structures
  • Proven record of deploying data science solutions that improve supply chain performance
  • Excellent problem-solving skills and analytical abilities for addressing complex challenges creatively
  • Strong communication skills to collaborate effectively with diverse teams and explain technical concepts to non-technical stakeholders
  • Passion for staying informed about industry trends and sharing knowledge with team members
  • Hands-on experience with Generative AI services and open-source models
  • Self-starter with the ability to manage projects independently and ensure their successful completion
  • Comfortable working in fast-paced, dynamic environments
  • Fluent in English, both written and spoken, at a B2+ level or higher

Nice to have

  • Experience with distributed computing technologies such as Spark
  • Advanced knowledge of deep learning frameworks like TensorFlow or PyTorch, with practical experience in building complex AI systems

We offer

  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering, Information Technology, and Business Development

Industries: Software Development, IT Services and IT Consulting, and Retail

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Required Skill Profession

Bases De Datos, Analítica Y Bi, Gestión Informática Y Gestión De Proyectos Informáticos



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