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 Lead Data Scientist to join our collaborative team. You will play a key role in developing and implementing AI solutions across various applications, from statistical analysis to natural language processing. If you are passionate about leveraging data to create impactful solutions, we encourage you to apply.ResponsibilitiesDevelop and implement AI solutions, including classification, clustering, and anomaly detectionConduct statistical data analysis and apply machine learning techniquesManage complete project delivery from data preparation to model evaluationUtilize Python programming and SQL for data manipulation and analysisEngage in ML Ops and model development workflowsCreate models that are accessible for business useCollaborate with teams using software development methodologies and version controlDocument processes and maintain project tracking tools such as JiraStay updated with new technologies and apply problem-solving skills effectivelyDeliver production-ready solutions and facilitate knowledge sharingRequirementsOver 9 years of software engineering experience with a focus on Data ScienceA minimum of 1 year in a relevant leadership capacityStrong grasp of statistical data analysis, machine learning, and NLP, including their practical uses and constraintsHands-on experience building AI solutions involving classification, clustering, anomaly detection, and NLPSkilled in managing full project lifecycles, from data preparation to model construction, evaluation, and visualizationStrong command of Python and SQL, with background in production-level coding and 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 tracking tools (such as Jira)Eagerness to explore new technologies, paired with strong problem-solving skills and a track record of delivering production-ready workComfortable working with the UNIX command lineExperience with Agile development approachesStrong English communication abilities, at a B2+ level or higherNice to haveUnderstanding of Cloud ComputingBackground in Big Data toolsExposure to visualization toolsSkills in 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.)