Lead Data Scientist (Gen AI) Full-time

We are seeking an exceptional Lead Data Scientist to helm our client’s Generative AI services within the Asia Advanced Analytics team.

As a pivotal driver for our Generative AI endeavors, you will lead groundbreaking solution development efforts. Your core focus will entail mastering Generative AI techniques such as prompt engineering, retrieval augmented generation, function calling, and agentic approaches and implementing these across the APAC markets. Your visionary leadership will be crucial in advancing our goals in Customer Experience, Personalization, Operational Transformation, and Digital Innovation, in line with our strategic roadmap.

#LI-DNI

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 , Glassdoors 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

Life at EPAM

-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

-Since EPAM Japan was incorporated in 2018, we have been constantly expanding our team and capabilities in Tokyo, the capital of the world’s third-largest economy

-We have top-notch multilingual specialists who are experts in consulting, designing, and engineering to achieve digital transformation for businesses, especially in financial services, life science, automotive, real estate, and retail

-With a proactive, creative, diverse team, we offer our clients solutions that envision digitalization in their systems, products, and services. We are here to make an impact in our community and beyond