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Director/Principal of Data Science Consulting
il y a 4 semaines
#LI-DNI
Responsibilities
- Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development and implementation of ML/AI solutions for clients
- Engage with clients to understand their business challenges and requirements and effectively communicate how ML/AI solutions can address them
- Collaborate with cross-functional teams to define project scope, develop datasets and apply appropriate ML algorithms to deliver high-quality solutions
- Lead the identification of new ML/AI opportunities, either through selling solutions or securing funding by leveraging your technical expertise and engaging senior decision-makers
- Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organisation 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 client stakeholders at the executive/C-level, helping them drive enterprise-wide agenda to maximize growth
- Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate
- Support sales/pre-sales activities by accessing Data opportunities, responding to RFPs, creating proposals and presentations
Requirements
- Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions
- Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models etc
- Solid understanding of ML algorithms, both classical and Deep Learning based
- Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects
- Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships
- Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow
- Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions
- Fluent French and English is essential
- Bachelor's or master's degree in Computer Science, Data Science or a related field or relevant work experience
We offer
- 25 days of paid leaves per year + reduction of the working time (RTT days, depending on the year)
- Meal vouchers (11 euros, 51% paid by EPAM)
- EPAM Employee Stock Purchase Plan (ESPP)
- Private medical insurance (including dental and vision insurance)
- Pension fund
- Safety and life insurance
- Navigo (Ground transportation allowance) 50% reimbursed by EPAM
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- *All benefits and perks are subject to certain eligibility requirements
