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. The Associate Principal Data Scientist is a leadership role responsible for managing and supervising data science teams across multiple business domains. This role involves a high degree of internal influence and public presence, contributing to the company's tech consultancy, educational programs, and open-source initiatives. The Associate Principal Data Scientist is also a technical partner to internal stakeholders and plays a key role in the client consultancy process. Responsibilities Leading and supervising data science teams of more than eight people across multiple business domains Contributing to internal company initiatives, such as hackathons, competitions, and educational programs Serving as a technical partner and trusted adviser for internal stakeholders Participating in the activities of the CTO office and Competency Centers Driving the development of innovation and technology strategy at the company level Mentoring junior team members on the Associate Data Scientist track Driving proactive demand generation at the company level Leading and supervising competency development at the location level Requirements Completion of 6+ prod stage projects and 12+ PoC level projects across all data science domains Experience as a data science or machine learning architect in at least two main domains Ability to technically validate and lead the implementation of a data processing system, including data preparation, modeling, inference, monitoring, and feedback loop Ability to design data processing system architecture Proven ability to improve and evolve engineering practices Experience in conducting more than 150 technical interviews, with at least 50 conducted globally and at least 15 for senior level roles Nice to have Public influence such as running an open-source project, high-recognized public profiles, participation in communities or foundations Expert knowledge in at least three business domains English proficiency of B2 or higher We offer International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn #J-18808-Ljbffr