Lead Data Scientist

Job Description

We are seeking a dynamic and experienced Lead Data Scientist to drive innovative solutions using cutting-edge technologies, including NLP, generative AI, and large language models (LLMs). This role will play a pivotal part in shaping the organization's data strategy, with a focus on life sciences and healthcare applications. Responsibilities Lead the design, development, and deployment of LLM-based generative AI applications tailored to real-world challengesCollaborate with cross-functional teams to integrate and operationalize prompt engineering best practices and advanced NLP techniquesLeverage experience in developing LLM orchestration frameworks like Langchain or Llama-index to improve model performance and reliabilityGuide topic modeling initiatives, including the application of BERTopic, to derive actionable insights from unstructured dataImplement Responsible AI principles, ensuring AI applications adhere to ethical standards and regulatory requirementsIdentify opportunities within the life sciences and healthcare sectors to apply generative AI solutions effectivelyMentor and provide technical leadership to junior data scientists, fostering a culture of innovation and excellenceStay updated with advancements in NLP, generative AI, and responsible AI to maintain the organization’s technological edge Requirements At least 5 years of hands-on experience in data science, with expertise in Python, natural language processing, and generative AIProficiency in leveraging large language models and applying prompt engineering for enterprise applicationsFamiliarity with LLM orchestration frameworks like Langchain, Llama-index, or HuggingFaceBackground in topic modeling, including practical use of BERTopic for advanced data analysisStrong understanding of AI ethics and Responsible AI in regulated industries like life sciences and healthcare Nice to have Expertise in designing LLM-based solutions specifically for healthcare or life sciences applicationsSkills in integrating AI-driven systems into existing workflows in regulated industriesFamiliarity with experimental or emerging approaches in explainable AI or LLM interpretability We offer International projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesOpportunity to join and participate in life of EPAM's Employee Resource GroupsEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn