Principal, Data Science Consulting - Remote

$145,000 - $240,000/Yr

EPAM Systems - Boston, MA

Full-time - Senior

Remote - Boston, MA

Professional, Scientific, and Technical Services

About the position

EPAM is seeking a Senior Manager or Director level professional to lead the Data & Analytics + Data Science Consulting Practice with a focus on Machine Learning (ML) and Artificial Intelligence (AI). This role involves providing technical leadership, driving the design and implementation of ML/AI solutions, and engaging with clients to address their business challenges. The position requires a balance of engineering rigor, system-level thinking, and real-world pragmatism, making it ideal for someone passionate about AI technology and its impacts on business and society.

Responsibilities

• Provide technical leadership and strategic expertise in ML and AI by driving the design, development, and implementation of ML/AI solutions for clients
• Plan, execute, design, and deliver responsible AI systems and the corresponding measurement strategies that align the right solution with client needs
• Connect across the organization to drive AI adoption in other verticals-envision new products, solutions, offerings, and other differentiators
• Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them
• Collaborate with data scientists and engineers, fostering confidence through your own depth of technical expertise to lead teams tactically as a peer and a mentor
• Monitor the latest advancements within ML/AI emerging technologies, proactively recommending new approaches while understanding their impact within a complex regulatory environment
• Perform as the liaison between business, legal, and technology stakeholders across EPAM and within our client engagements
• Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase
• Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution
• Engage executive/C-level client stakeholders to help them drive enterprise-wide agenda to maximize AI adoption
• Support sales and pre-sales activities by assessing Data opportunities, responding to RFPs, and creating proposal presentations

Requirements

• Extensive experience working in a leadership role within Data Analytics, Machine Learning & AI
• Proven track record designing and implementing ML/AI solutions
• Deep understanding of Machine Learning including deep learning, statistics fundamentals, human-computer interaction, CNN/RNN, transformer models, LLMs (RAG), privacy-preserving ML, and security fundamentals
• Demonstrated experience driving multidisciplinary and geographically distributed teams to deliver AI products
• Comfortable engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
• Ability to explain complex technical concepts to both technical and non-technical audiences
• Proficient in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
• Excellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutions
• Familiar with working within a highly regulated industry or in a technology-adjacent regulatory function
• Master's degree in computer science, data science, statistics, or a related field

Benefits

• Medical, Dental and Vision Insurance (Subsidized)
• Health Savings Account
• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
• Short-Term and Long-Term Disability (Company Provided)
• Life and AD&D Insurance (Company Provided)
• Employee Assistance Program
• Unlimited access to LinkedIn learning solutions
• Matched 401(k) Retirement Savings Plan
• Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)
• Paid Holidays - nine (9) total per year
• Legal Plan and Identity Theft Protection
• Accident Insurance
• Employee Discounts
• Pet Insurance
• Employee Stock Purchase Program
• Participation in the discretionary annual bonus program
• Participation in the discretionary Long-Term Incentive (LTI) Program