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Chief Data Optimization Specialist

2 weeks ago

Singapore beBeeDataScience Full time $100,000 - $150,000
Unlock Your Potential as a Data Science Expert

We are seeking a highly skilled Data Scientist to join our innovative team in Singapore. As a key member, you will be responsible for harnessing the power of Machine Learning and Artificial Intelligence to drive creative pipeline optimizations.

Your primary focus will be on collaborating with game designers, engineers, and artists to identify opportunities for applying Machine Learning techniques. This will involve working closely with stakeholders to streamline creative workflows, improve asset generation, and enhance overall efficiency in game development.

Key Responsibilities:
  • Develop and implement Machine Learning models to accelerate creative pipeline optimizations, content creation, iteration, and integration.
  • Work collaboratively with cross-functional teams to identify areas for improvement and develop innovative solutions.
  • Design and conduct experiments to validate models, measure their impact on creative pipeline optimizations, and drive continuous improvement.
  • Stay up-to-date with the latest advancements in Machine Learning and gaming technology, and proactively explore new approaches to enhancing creative pipeline efficiencies.
Requirements:
  • Masters or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field, with a focus on Machine Learning, Data Science, or Artificial Intelligence.
  • At least 3 years of extensive experience in applying Data Science techniques to real-world problems, with a proven track record of delivering impactful data science solutions in a fast-paced environment.
  • Proficiency in programming languages such as Python, R, C, C++, C#, and experience with libraries and frameworks like TensorFlow, PyTorch, or JAX.
  • Strong understanding of statistical analysis, experimental design, and data visualization techniques.
  • Experience working with Generative Models, such as Score-based Diffusion Models, Generative Adversarial Networks (GANs), or Variational Autoencoders (VAEs), to drive creative pipeline optimizations.
  • Excellent communication skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
  • Leadership experience, including mentoring junior team members, interns, and driving cross-functional collaboration, is highly desirable.