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.ResponsibilitiesBuild and deploy AI solutions covering classification, clustering, and anomaly detectionPerform statistical data analysis and implement machine learning methodsOversee end-to-end project execution, spanning data preparation through model evaluationApply Python and SQL skills for data handling and analysisParticipate in ML Ops practices and model development pipelinesDesign models that business users can easily accessWork alongside teams following software development practices and version control systemsKeep documentation current and manage project tracking through tools like JiraRemain current with emerging technologies while applying strong problem-solving abilitiesProduce production-ready outputs and contribute to knowledge sharing effortsRequirements9+ years working in software engineering with a focus on Data ScienceA minimum of 1 year in a relevant leadership capacityStrong command of statistical data analysis, machine learning, and NLP, along with a solid grasp of their real-world uses and constraintsHands-on experience building and deploying AI solutions, covering classification, clustering, anomaly detection, and NLPSkilled in managing the full project lifecycle, from data preparation to model construction, evaluation, and visualizationStrong Python and SQL skills, including writing production-level code and using data analysis librariesKnowledge of ML Ops, model development pipelines, and feature engineering approachesAbility to manipulate data and build business-accessible models, including experience with Azure AI SearchSkilled 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 workComfortable working with the UNIX command lineExperience working within Agile development frameworksStrong English communication skills, at a B2+ level or higherNice to haveUnderstanding of Cloud ComputingHands-on experience with Big Data toolsExposure to visualization toolsSkilled in using containerization toolsWe offerOpportunity 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 benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)