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.

Our collaborative team is seeking a Lead Data Scientist to join us. This role involves taking on a central part in building and deploying AI solutions spanning multiple domains, including statistical analysis and natural language processing. Candidates who are enthusiastic about using data to drive meaningful outcomes are invited to submit their application.

Responsibilities

• Build and deploy AI solutions covering classification, clustering, and anomaly detection
• Perform statistical data analysis and implement machine learning methods
• Oversee end-to-end project execution, spanning data preparation through model evaluation
• Apply Python and SQL skills for data handling and analysis
• Participate in ML Ops practices and model development pipelines
• Design models that business users can easily access
• Work alongside teams following software development practices and version control systems
• Keep documentation current and manage project tracking through tools like Jira
• Remain current with emerging technologies while applying strong problem-solving abilities
• Produce production-ready outputs and contribute to knowledge sharing efforts

Requirements

• 9+ years working in software engineering with a focus on Data Science
• A minimum of 1 year in a relevant leadership capacity
• Strong command of statistical data analysis, machine learning, and NLP, along with a solid grasp of their real-world uses and constraints
• Hands-on experience building and deploying AI solutions, covering classification, clustering, anomaly detection, and NLP
• Skilled in managing the full project lifecycle, from data preparation to model construction, evaluation, and visualization
• Strong Python and SQL skills, including writing production-level code and using data analysis libraries
• Knowledge of ML Ops, model development pipelines, and feature engineering approaches
• Ability to manipulate data and build business-accessible models, including experience with Azure AI Search
• Skilled in software development practices, version control systems (such as GitLab), and project tracking tools (such as Jira)
• Eagerness to explore new technologies, paired with strong problem-solving ability and a track record of delivering production-ready work
• Comfortable working with the UNIX command line
• Experience working within Agile development frameworks
• Strong English communication skills, at a B2+ level or higher

Nice to have

• Understanding of Cloud Computing
• Hands-on experience with Big Data tools
• Exposure to visualization tools
• Skilled in using containerization tools

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.)