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 actively seeking an experienced Data Scientist to become part of our dynamic team.
Our client excels as a top provider of cutting-edge solutions in Business and Data Analysis. In your role as a Data Scientist, you will take charge of developing and deploying data science models and machine learning algorithms that tackle intricate challenges and deliver valuable insights to our clients.

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• Develop and launch innovative data science models and machine learning algorithms to address complex issues
• Work closely with data engineers and scientists to gather, preprocess, and prepare datasets for model training
• Conduct training and enhance machine learning/deep learning models using extensive datasets and distributed computing platforms, ensuring optimal performance, efficiency, and scalability
• Execute experiments to test the performance, resilience, and adaptability of machine learning/deep learning models, employing suitable metrics and statistical methods for result interpretation
• Generate technical documentation detailing model architecture, implementation, and experimental outcomes, and present findings and recommendations to both technical and non-technical audiences

• Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field
• 3 to 5 years of professional 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 comprehension of data structures, algorithms, multi-threaded programming, and distributed computing principles
• Background in statistical and algorithmic models and fundamental mathematical principles like 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.)