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Principal, Data Science Consulting - Remote Remote in USA

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Principal, Data Science Consulting - Remote Description

Are you passionate about the evolving landscape of AI technology, and its potential impacts on business, society, and the world?
EPAM is seeking an avid technologist and great communicator who enjoys complex multi-facetted problems that combine the technological, human, and organizational layers to support our Responsible AI and Security teams across different business verticals. If you thrive in an environment that requires a balance of uncompromising engineering rigor, system-level thinking, and real-world pragmatism, we’d love to have a conversation.

As one of the world’s leading digital transformation service providers, we are expanding our Data Practice across the Americas to meet increasing client demand for our services. We are looking for people at the Senior Manager and Director level within the Data & Analytics + Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally



  • 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


  • 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


  • 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
  • If otherwise eligible, participation in the discretionary annual bonus program
  • If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

About 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. 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


  • Applications will be accepted on a rolling basis
  • This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $145k– $240k. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position

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