Lead Data Scientist

We are seeking a Lead Data Scientist with expertise in Generative AI technologies, Python, and scalable machine learning solutions to design and deliver impactful AI applications. This role combines technical leadership with collaboration, driving innovation while aligning with business objectives.In this role, you will design and scale a sophisticated chatbot application leveraging Generative AI to simplify workflows and answer natural language questions by retrieving insights from APIs and unstructured data sources. ResponsibilitiesCombine technical leadership with strategic oversight to guide AI/ML initiativesOwn and manage the lifecycle of AI/ML models, from code development and evaluation to production deploymentOptimize and fine-tune models to ensure accuracy and high performance in real-world scenariosImplement robust model evaluation and drift testing processes to maintain reliabilityEstablish and enforce coding and model standards to ensure production-grade qualityCollaborate closely with engineering and business teams to define project objectives, requirements, and roadmapsDeliver scalable AI solutions, advancing prototypes to production-ready systems Requirements5+ years of professional experience in Data Science1+ years of leadership experience in relevant rolesProven proficiency in NLP/LLMs/GenAI methodsAdvanced Python skills, with expertise in TensorFlow, PyTorch, and Scikit-Learn for AI model developmentProven expertise in building and deploying production-grade AI/ML models with robust pipelines, monitoring practices, and operationalization in real-world environmentsStrong background in data analysis and probability for model interpretation and insightsProficiency in Azure and/or AWS cloud platforms for scalable, reliable deploymentsCapability to define and uphold high-quality coding practices for maintainable and efficient systemsExcellent communication skills for explaining technical concepts effectively to technical and non-technical stakeholdersEnglish level of minimum B2 (Upper-Intermediate) for effective communication Nice to haveExperience with DevOps practices such as CI/CD pipelines, code versioning, and automated testing frameworksFamiliarity with MLflow for tracking experiments and enhancing model deployment workflows We offerFor your comfortable work:Remote and hybrid work opportunitiesOption to work from our centrally located office in AthensCorporate laptop providedOption to work on your own devicePrivate health insuranceMeal vouchers / restaurant ticketsMy Benefit card (264€/year)Monthly public transportation cardFor your growth:Global and diverse client portfolio, large-scale projects, and trendy technologiesDiverse multicultural, multi-functional, and multilingual work environmentOpportunity to contribute to internal and open-source productsOutstanding career development opportunities with a transparent career path and a roadmap to accelerate your journeyPossibility to create a Personal Development Plan from the first day in the companyNumerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-LibrariesCertification opportunitiesKnowledge-sharing with colleagues from EPAM's global tech and non-technical communitiesLanguage courses EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest. The remote option applies only to the Candidates who will be working from any location in Greece.