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 Lead Data Scientist to join our dynamic team.In this role, you will contribute to the development and implementation of AI solutions for a variety of applications, including statistical analysis and natural language processing. If you are excited about using data to drive meaningful outcomes, we welcome your application.ResponsibilitiesDevelop AI solutions such as classification, clustering, and anomaly detectionApply statistical data analysis and machine learning techniquesManage all project stages, from data preparation to model evaluationUtilize Python and SQL for data analysis and manipulationLeverage ML Ops tools and manage model development workflowsBuild models that are designed for business useCollaborate with teams using software development practices and version control toolsMaintain project documentation and tracking systems like JiraEvaluate emerging technologies and apply problem-solving strategiesDeliver solutions ready for production and enable cross-team knowledge sharingRequirements9+ years of experience in software engineering with a focus on Data ScienceMinimum of 1 year of leadership experienceExpertise in statistical data analysis, machine learning, and NLP, with practical knowledge of limitationsBackground in creating and deploying AI solutions for classification, clustering, anomaly detection, and NLPCompetence in overseeing project delivery from data preparation to model evaluation and visualizationProficiency in Python programming and SQL with experience in production-level librariesFamiliarity with ML Ops, feature engineering, and model development workflowsCapability to manipulate data and deliver models optimized for business usage, including experience with Azure AI SearchBackground in software development practices, version control systems such as GitLab, and project management tools like JiraUnderstanding of innovative technologies and ability to deliver production-ready models through creative problem resolutionFluency in using the UNIX command lineKnowledge of Agile development practicesStrong English communication skills, with B2+ proficiency levelNice to haveUnderstanding of Cloud Computing conceptsKnowledge of Big Data toolsFamiliarity with data visualization platformsCapability to use containerization toolsWe offer/BenefitsOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:
Health benefits
Retirement benefits
Paid time off
Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)
