Data Science Director

vor 1 Monat

Köln, Nordrhein-Westfalen, Deutschland Epam Vollzeit

About the Role

We are seeking a highly skilled Director of Data Analytics to join our team in Germany. As a senior-level position, this role offers an exciting opportunity to work with leading-edge technologies, deliver ML/AI-driven solutions, and partner closely with multiple clients and our Data leadership teams globally.

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.
  • 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 assessing 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 German 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

  • EPAM Employee Stock Purchase Plan (ESPP).
  • 30 days holiday per annum.
  • Company Pension Scheme.
  • Competitive compensation depending on experience and skills.
  • Regular performance assessments.
  • Opportunities for personal and professional growth.
  • Unlimited access to LinkedIn learning solutions.
  • Friendly and enjoyable working team.
  • Relocation package support.
  • Regular corporate and social events.
  • Flexible and remote working opportunities.
  • All benefits and perks are subject to specific eligibility requirements.

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.

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