Data Science Director

il y a 5 jours

Paris, Île-de-France Epam Temps plein

About the Role

We are seeking a highly experienced Data Science Director to join our team at EPAM. As a senior leader in our Data Practice, you will play a key role in driving the design, development, and implementation of Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients.

Key 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 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 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 analyze 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.

Our Benefits

  • 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).
  • Safety and Life insurance.
  • Pension fund.
  • Private medical insurance (including dental and vision insurance).
  • Employee Stock Purchase Plan (ESPP).
  • Navigo (Ground transportation allowance) 50% reimbursed by EPAM.
  • Opportunity to work on leading-edge platforms, working in a fast-paced, agile, software engineering culture.
  • Regular performance feedback and salary reviews.
  • Great learning and development opportunities, including in-house professional training, career advisory and coaching, sponsored professional certifications, well-being programs, LinkedIn Learning Solutions, and much more.
  • Certain benefits and perks may be subject to eligibility requirements.

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