Lead Data Scientist (Gen AI) Tokyo, Japan or Remote

Responsibilities

• Lead and manage a team of Data Scientists and ML Engineers to develop and support Generative AI services across Asia, focusing on both talent management and team growth
• Collaborate with Data Engineers and IT SMEs to efficiently optimize large datasets, and with stakeholders to define requirements, design data models, and deploy tailored Generative AI solutions that address complex business challenges
• Drive the creation and implementation of advanced machine learning models using AI tech patterns like RAG and Multi-Agent approach, and standardize processes, techniques, and tools for data scientists within the Generative AI framework
• Actively promote the integration and utilization of insights from Generative AI solutions across the organization, ensuring alignment with key stakeholders
• Innovate sourcing and leveraging of data for Generative AI through methods that incorporate Open AI services, while staying abreast of industry trends and advancements in AI/ML, particularly in Generative AI technologies

Requirements

• Advanced degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field, supported by substantial professional experience
• Proven experience in developing, scaling Generative AI solutions, and solving complex business problems through data science
• Proficiency in data pipeline and machine learning architecture, especially in Azure, with strong skills in Python, R, SQL, and specific prompt engineering tools
• Fluency in Japanese and excellent communication skills are required for effectively articulating complex data science concepts to both technical and non-technical stakeholders

Nice to have

• Experienced in data frameworks and cloud platforms such as Azure, Databricks, and Spark, with a focus on implementing and scaling Generative AI solutions
• Proven track record of deploying successful Generative AI solutions, delivering tangible business results

We offer

• By choosing EPAM, you're getting a job at Great Place To Work-Certified™ in 2024, Glassdoor’s Top 100 Best Places to Work in 2023 & one of Most Loved Workplace, as recognized by Newsweek, 2021 - 2023
• Your voice matters. At EPAM, employee ideas are the driving force behind our business. You'll be part of a supportive workplace where everyone is respected and included
• Through extensive opportunities for internal training and self-development, including workshops, online courses, and mentoring programs, you'll learn, contribute, and grow with us
• You'll be challenged while working side-by-side with some of the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices