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.
Our team is seeking a Senior Data Scientist with 4-8 years of experience to enhance our capabilities.
In this role as a Senior Data Scientist, you will focus on designing, developing, and deploying data science models and machine learning algorithms to tackle complex challenges. You will work closely with data engineers and data scientists to gather, pre-process, and prepare datasets that are ideal for model training.

• Design and develop innovative data science models and machine learning algorithms to address complex issues
• Work jointly with data engineers and data scientists to gather, pre-process, and prepare datasets for training
• Train and refine machine learning/deep learning models utilizing large-scale datasets and distributed computing frameworks while optimizing for performance, efficiency, and scalability
• Conduct experiments to assess the performance, robustness, and generalization capabilities of machine learning/deep learning models, employing relevant metrics and statistical analyses for interpretation
• Draft technical documentation outlining model architecture, implementation specifics, and experimental findings and present insights 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
• 4 to 8 years of 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 pandas, scikit-learn, Matplotlib, spacy, statsmodel, etc
• General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• Knowledge of statistical and algorithmic models as well as fundamental mathematical concepts such as linear algebra and probability
• Familiarity with cloud services (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.)