We are hiring a Data Science Consultant to provide visionary leadership in machine learning and AI, directing design and implementation of advanced solutions for our clients.

This role ensures alignment of AI technologies with business strategies, driving impactful outcomes and fostering enterprise-wide AI adoption. Become part of a team committed to delivering innovative AI products and services.

Responsibilities

• Lead the development and execution of ML and AI technical strategies for client projects
• Create responsible AI systems and metrics that support client objectives
• Promote AI integration by coordinating across organizational departments
• Work closely with clients to understand their challenges and demonstrate ML/AI benefits
• Manage and mentor data science and engineering teams as both leader and collaborator
• Stay updated on ML/AI innovations and suggest new approaches mindful of regulatory issues
• Act as intermediary among business, legal, and technology groups within EPAM and client sides
• Outline ML solution scopes, manage pricing, and oversee project transitions from sales to delivery
• Cultivate client relationships through clear communication and effective project management
• Engage senior executives and C-level stakeholders to champion enterprise AI adoption
• Assist sales teams with data opportunity assessments, RFP responses, and proposal development

Requirements

• At least 12 years of leadership experience in Data Analytics, Machine Learning, and AI
• Demonstrated success in building and implementing ML/AI solutions
• In-depth understanding of machine learning concepts including deep learning, statistics, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), and ML privacy/security
• Proven leadership of geographically distributed, multidisciplinary AI teams
• Ability to persuade senior stakeholders to fund or purchase ML/AI projects
• Effective in explaining complex technical topics to both technical and non-technical stakeholders
• Hands-on experience with Python and ML frameworks like PyTorch and TensorFlow
• Knowledge of SQL and cloud services such as AWS, Azure, or GCP
• Experience with regulated industries or related compliance functions
• Strong analytical skills to convert complex business needs into ML/AI applications