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 with 4-8 years of experience to join our dynamic team.
In this role, you will focus on creating, building, and deploying data science models and machine learning algorithms to tackle complex challenges. You will work closely with data engineers and other data scientists to gather, prepare, and refine datasets that are ideal for model training.

• Create, build, and deploy innovative data science models and machine learning algorithms to address complex issues
• Work closely with data engineers and data scientists on dataset collection, preparation, and refinement
• Train and optimize machine learning/deep learning models using extensive datasets and distributed computing frameworks
• Conduct experiments to assess the performance, stability, and generalization of machine learning/deep learning models, utilizing relevant metrics and statistical methods
• Develop technical documentation detailing model architecture, implementation, and experimental outcomes, and present findings and recommendations to diverse audiences

• Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field
• 4 to 8 years of relevant experience
• Strong foundation in Machine Learning, Deep Learning, Computer Vision, NLP
• Proficiency in Python
• Experience with deep learning frameworks such as Tensorflow, Pytorch, Keras, Jax
• Experience with tools like pandas, scikit-learn, Matplotlib, spacy, statsmodel
• General knowledge of data structures, algorithms, multi-threaded programming, and distributed computing
• Understanding of statistical and algorithmic models, linear algebra, and probability
• Familiarity with cloud services like AWS, Google Cloud, Azure
• Excellent written and verbal communication skills

• 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.)