Senior NLP Data Scientist

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 skilled Senior NLP Data Scientist who will be responsible for analyzing complex textually based problems, finding algorithmic solutions, and building machine learning models for various NLP tasks. The ideal candidate must have at least 5 years of experience in building machine learning models, possess Python programming experience, and have a natural curiosity for data crunching and analysis.

Responsibilities

• Analyzing complex textually based problems and finding algorithmic solutions
• Building machine learning models for various NLP tasks
• Designing a workflow for professionals to build their own NLP solutions
• Tuning machine learning models for both improving quality and latency/memory
• Taking full ownership of a problem from understanding the requirements to demoing it

Requirements

• B.Sc. in a relevant field: Computer Science/Software Engineering/Applied Mathematics. M.Sc.
• 4+ years of experience in building machine learning models
• Experience with NLP
• Python programming experience, including relevant machine learning libraries
• English B2+

Nice to have

• Experience with Transformers - Hugging Face or BERT
• Experience with AWS Services

We offer

• 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