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 highly skilled Lead Data Scientist to join our team.
In this role, you will be responsible for designing, developing, and implementing data science models and machine learning algorithms, including data pre-processing, training, optimization, and evaluation of models.

• Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems
• Collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training
• Train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks.
• Design and conduct experiments to evaluate the performance, robustness, and generalization of tune machine learning/deep learning models. Use appropriate metrics and statistical analysis to measure and interpret results
• Prepare technical documentation, including model architecture, implementation details, and experimental results.

• 8 to 12 years of experience is required
• Bachelor's or master's degree in computer science, Data Science, Statistics, or related field
• Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
• Proficiency with Python
• Experience with deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc
• Experience with pandas, scikit-learn, matplotlib, spacy, statsmodel, etc
• Knowledge of statistical and algorithmic models as well as of fundamental mathematical concepts, such as linear algebra and probability
• General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• Familiarity with clouds (AWS, Google Cloud, Azure)
• Experience in Natural Language Processing (NLP) preprocessing techniques
• Excellent communication skills
• B2+ English level

• 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.)