Skip To Main Content
epam-logo-black.svgepam-logo-black.svg
backBack to Search

Senior Data Scientist

Colombia, Mexico
Data Science, Machine Learning Engineering, MLflow, MLOps, Azure Machine Learning, Azure Cognitive Services, Azure DevOps, Amazon SageMaker

We are seeking a highly skilled Senior Data Scientist to join our remote team and work on an exciting new project in the field of artificial intelligence and machine learning. As a Senior Data Scientist, you will be responsible for designing and implementing machine learning models, building and maintaining data pipelines, and deploying machine learning models to production. You will work with a team of developers and data scientists to develop cutting-edge solutions that push the boundaries of what is possible in the field of data science.

Responsibilities
  • Design and implement machine learning models for various use cases, such as image recognition, natural language processing, and predictive modeling
  • Build and maintain data pipelines to ensure high-quality data is available for training and testing machine learning models
  • Deploy machine learning models to production using Azure DevOps and other deployment tools
  • Collaborate with data scientists, developers, and other stakeholders to identify and prioritize machine learning use cases
  • Stay up-to-date with the latest developments in machine learning and data science, and apply this knowledge to improve our solutions
Requirements
  • 3+ years of experience in data science and machine learning engineering
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field
  • Expertise in machine learning engineering, including experience with MLflow and MLOps
  • Proficiency in using Azure Machine Learning and Azure Cognitive Services, as well as Amazon SageMaker
  • Experience with deploying machine learning models to production using Azure DevOps
  • Experience with data engineering, including building and maintaining data pipelines
  • Excellent communication and collaboration skills, with the ability to work in cross-functional teams
  • Fluent English language skills with an Upper-Intermediate level or higher
Nice to have
  • Experience with in Python, Spark and Kafka
  • Exposure to Stream Data, SQL, Linux and R
Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • 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