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 in search of a talented Data Scientist to become a part of our dynamic team.
Our client stands at the forefront of delivering cutting-edge solutions in Business and Data Analysis. In the role of a Data Scientist, you will take charge of creating and executing data science models and machine learning algorithms. These models and algorithms are designed to tackle intricate challenges and deliver valuable insights to our clients.

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• Develop and execute innovative data science models and machine learning algorithms to address complex issues
• Partner with data engineers and scientists to gather, preprocess, and prepare datasets for model training
• Train and refine machine learning/deep learning models using extensive datasets and distributed computing frameworks, and enhance models for performance, efficiency, and scalability
• Design and perform experiments to assess the performance, robustness, and generalization capabilities of machine learning/deep learning models, employing suitable metrics and statistical analysis for result 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 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 data manipulation and visualization tools like pandas, scikit-learn, matplotlib, spacy, statsmodel
• General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• Proficiency in 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.)