
Overview
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 to join our team and apply your expertise in statistical data analysis, machine learning, and NLP to design and deliver transformative AI solutions.
As a Senior Data Scientist, you will actively contribute to complex projects requiring full lifecycle involvement, from data preparation to model deployment, collaborating with cross-functional teams and creating production-ready outcomes.
Responsibilities
- Develop AI solutions such as classification, clustering, anomaly detection, and NLP
- Apply advanced statistical methods and machine learning algorithms to address complex challenges
- Utilize Python and SQL for production-level code and thorough data analysis
- Build model workflows, including ML Ops and feature engineering techniques
- Leverage Azure AI Search and similar tools to provide stakeholders with insights and model accessibility
- Work closely with developers and project managers, using tools like GitLab for version control and Jira for project tracking
- Optimize data pipelines and improve model performance for practical applications
- Present technical concepts in an easy-to-understand manner to diverse audiences
- Stay informed about emerging technologies and incorporate them to solve real-world problems
- Follow Agile practices and demonstrate understanding of UNIX command line tools
Requirements
- 4+ years of relevant experience in Data Science
- Proficiency in statistical data analysis, machine learning, and NLP for practical problem-solving
- Expertise in Python programming and SQL with demonstrated use of data analysis libraries
- Background in creating AI solutions such as classification, clustering, anomaly detection, or NLP
- Familiarity with ML Ops, feature engineering, and managing model development workflows
- Flexibility to apply tools like Azure AI Search for business-ready model deployment
- Competency in software development practices and tools like GitLab
- Knowledge of Agile methodologies and project tracking with tools like Jira
- Understanding of UNIX command line operations and creative problem-solving with innovative technologies
- B2 level of English or higher, especially in technical communication
Nice to have
- Knowledge of Cloud Computing, Big Data tools, and containerization technologies
- Skills in data visualization tools to effectively convey insights
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.)