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 currently seeking a talented Data Scientist to be part of our dynamic team.
Our client is a prominent provider of cutting-edge solutions in Business and Data Analysis. In the role of Data Scientist, you will design and execute data science models and machine learning algorithms to tackle intricate challenges and deliver valuable insights to our clients.

• Create, build, and deploy innovative data science models and machine learning algorithms that address complex issues, including architectural design, data pre-processing, model training, optimization, and evaluation
• Work alongside data engineers and scientists to gather, pre-process, and prepare datasets for model training
• Conduct training and refinement of machine learning/deep learning models using extensive datasets and distributed computing frameworks, optimizing for performance, efficiency, and scalability
• Execute experiments to assess the performance, resilience, and generalization of machine learning/deep learning models, utilizing appropriate metrics and statistical analysis for interpretation
• Generate technical documentation detailing model architecture, implementation specifics, and experimental outcomes, and present findings, insights, and recommendations to diverse audiences

• Bachelor's or master's degree in computer science, Data Science, Statistics, or a related field
• 3 to 5 years of required 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, etc
• Experience with tools like pandas, scikit-learn, matplotlib, spacy, statsmodel, etc
• General knowledge of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• Understanding of statistical and algorithmic models and fundamental mathematical concepts like linear algebra and probability
• Familiarity with cloud services including 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.)