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 looking for a Senior Data Scientist with 4-8 years of experience to join our team.

As a Senior Data Scientist, you will be responsible for designing, developing, and implementing data science models and machine learning algorithms to solve complex problems. You will collaborate with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training.

• Design, develop, and implement novel data science models and machine learning algorithms that solve complex problems. This includes architectural design, data pre-processing, training, optimization, and evaluation of models
• 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. Optimize models for performance, efficiency, and scalability
• 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. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders

• Bachelor's or master's degree in computer science, Data Science, Statistics, or related field
• 4 to 8 years of experience is required
• Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
• Proficiency in Python
• Experience Deep learning frameworks like 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 of 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.)