Lead 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 seeking a highly skilled Lead Data Scientist to join our team and lead a project focused on developing novel data science models and machine learning algorithms to solve complex problems.

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.

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Responsibilities

• 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. 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.
• Prepare technical documentation, including model architecture, implementation details, and experimental results. Communicate findings, insights, and recommendations to both technical and non-technical stakeholders
• Use appropriate metrics and statistical analysis to measure and interpret results

Requirements

• Bachelor's or master's degree in computer science, Data Science, Statistics, or related field
• Minimum of 8 to 12 years of experience
• Proficiency in Python
• Solid foundation in Machine Learning, Deep Learning, Computer Vision, NLP
• Experience with deep learning frameworks like Tensorflow, Pytorch, Keras, Jax, etc
• General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
• 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
• Experience in Natural Language Processing (NLP) preprocessing techniques
• Familiarity with cloud services (AWS, Google Cloud, Azure)
• Upper-intermediate English level proficiency

We offer

• 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.)