Data Science Leader

3 days ago

Taguig, National Capital Region, Philippines beBeeArtificial Full time $110,000 - $157,000
Senior AI and Data Manager

This is a senior management role that oversees the development, implementation, and maintenance of data-driven solutions using artificial intelligence (AI) and machine learning (ML) technologies.

  • The ideal candidate will have at least 12 years of experience in data science, analytics, or AI-related modeling in the industry.
  • A master's degree or PhD in statistics, mathematics, computer science, engineering, or a related field is required.

Key skills include strong knowledge of analytical modeling, Python, R, SQL, and other data analysis tools and platforms. The successful candidate will also have expertise in applying analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc.

Responsibilities:
  • Lead and manage end-to-end AI and data focused projects for clients, including problem definition, data acquisition, model development, validation, deployment, and monitoring.
  • Architect and implement scalable and robust analytics solutions using next-generation technologies such as cloud, big data, AI/ML, etc.
  • Involved in business development, client engagement, proposal writing, and presentation of solutions to senior stakeholders and clients.

EY exists to build a better working world, helping to create long-term value for clients, people, and society. Enabled by data and technology, diverse EY teams provide trust through assurance and help clients grow, transform, and operate. Working across assurance, consulting, law, strategy, tax, and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

The successful candidate will be responsible for leading a team of AI/ML experts to deliver high-quality solutions for clients, providing thought leadership and guidance on best practices and methodologies.

Requirements:
  • Strong knowledge of analytical modeling, Python, R, SQL, and other data analysis tools and platforms.
  • Expertise in applying analytical and AI techniques, such as optimization, simulation, machine learning, deep learning, natural language processing, computer vision, etc.

Able to architect and implement scalable and robust analytics solutions using next-generation technologies such as cloud, big data, AI/ML, etc.

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