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 seeking a Senior Data Scientist to join our Kaggle team, where they will play a pivotal role in overseeing the publication and maintenance of machine learning and large language models (LLM).

The ideal candidate will have a strong background in data science and machine learning and experience with large language models.

If you are interested in this opportunity – apply!

Responsibilities

• Publish machine learning and LLM models on Kaggle through APIs/manual methods
• Develop educational content such as step-by-step tutorials and interactive notebooks
• Collaborate on metrics and enhance the model publishing process
• Stay updated with the latest advancements in machine learning models
• Evaluate and select models for publication based on performance and impact
• Engage with both internal and external stakeholders to refine the publishing process
• Monitor and adjust the performance of published models to meet user needs
• Mentor junior data scientists and lead project teams

Requirements

• Bachelor’s degree in Computer Science, Data Science, or related field
• 5+ years of experience in data science and machine learning
• Proficiency in Python and machine learning frameworks like Keras, PyTorch, and Transformers
• Experience with natural language processing, computer vision, and large language models
• Strong communication and teamwork skills
• Ability to work independently and collaboratively
• Passionate about data science with a keen interest in continuous learning and development
• Proven track record of successfully deploying machine learning models
• Familiarity with API development and model deployment
• Experience in handling large datasets and computational resources
• Ability to document and explain complex models to non-expert stakeholders
• Experience in developing and maintaining project timelines and deliverables

Nice to have

• Previous experience using Kaggle for competitions, dataset exploration, or model engagement
• Exceptional problem-solving and analytical skills

We offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)