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Data Science Consulting
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We are looking for a Data Science Consultant to lead the strategic development and deployment of cutting-edge ML and AI solutions for our clients.
This role bridges business goals with innovative AI technologies, ensuring successful delivery and promoting AI integration across enterprises. Join us to guide multidisciplinary teams and help clients harness AI for transformative outcomes.
Responsibilities
- Guide technical strategy and leadership in ML and AI across client projects
- Design and implement responsible AI frameworks and measurement aligned with business goals
- Facilitate AI adoption and innovation by connecting different organizational units
- Engage with clients to identify challenges and illustrate how ML/AI can solve them
- Lead and mentor teams of data scientists and engineers as a collaborative partner
- Track latest ML/AI technology trends and advise on new methods considering regulations
- Serve as the key liaison between business, legal, and technical teams within EPAM and client companies
- Define ML project scopes, pricing, and lead handoffs between sales and delivery
- Build and maintain strong client partnerships via clear communication and issue management
- Drive enterprise-level AI adoption by collaborating with executive and C-suite stakeholders
- Support sales efforts by evaluating data opportunities, responding to RFPs, and preparing proposals
Requirements
- Extensive leadership experience in Data Analytics, Machine Learning, and AI of at least 12 years
- Proven expertise in designing and deploying ML/AI solutions
- Comprehensive knowledge of machine learning including deep learning, statistics, HCI, CNN/RNN, transformer architectures, LLMs (RAG), and privacy/security in ML
- Demonstrated ability to lead geographically dispersed, multidisciplinary teams delivering AI products
- Skilled in influencing senior stakeholders to secure project funding and sell AI initiatives
- Strong communication skills to convey complex technical concepts to diverse audiences
- Proficient in Python and ML frameworks such as PyTorch and TensorFlow
- Experience with SQL and cloud platforms including AWS, Azure, or GCP
- Familiarity with regulated industries or technology-related compliance functions
- Excellent problem-solving capabilities to translate business needs into ML/AI solutions