Senior Data Scientist

About our group:

At Seagate, we craft the datasphere. We help maximize humanity’s potential by delivering world-class, precision-engineered data solutions developed through sustainable and profitable partnerships. Our solutions help protect memories, business intelligence, communication records, and so much more.

We are seeking a visionary Senior Data Scientist to lead transformative initiatives that leverage Generative AI (GenAI) to enhance software development efficiency, augment data science workflows, and spearhead the development of GenAI agents for Smart Manufacturing. This role offers a unique opportunity to make a significant impact by driving innovation in a global manufacturing environment.

About the role - you will:

1. Generative AI Strategy and Implementation
   1. Develop and execute strategies to integrate Generative AI tools and techniques into software development processes, improving efficiency and reducing development time.
   2. Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.
2. Team Leadership and Collaboration
   1. Lead and mentor a cross-functional team of data scientists, machine learning engineers, and domain experts to design and implement GenAI solutions.
   2. Foster a culture of innovation and continuous learning within the team.
   3. Collaborate with stakeholders across engineering, manufacturing, and IT to align AI initiatives with business goals.
3. Pilot Development of GenAI Agents for Smart Manufacturing
   1. Design and lead pilot projects to develop GenAI agents that enable smarter, more efficient manufacturing processes, including predictive maintenance, anomaly detection, and process optimization.
   2. Evaluate and integrate emerging GenAI technologies to drive scalability and effectiveness in manufacturing applications.
4. Research and Innovation
   1. Stay abreast of advancements in Generative AI, machine learning, and related fields to bring cutting-edge solutions to the organization.
   2. Publish findings and contribute to thought leadership in the AI community to position the company as an industry leader in AI-driven manufacturing.
5. Data Governance and Ethical AI
   1. Ensure compliance with data governance policies, ethical AI principles, and relevant regulations in all AI initiatives.
   2. Champion transparency, fairness, and accountability in AI system design and deployment.

About you:

• Education: MS in Computer Science, Data Science, Machine Learning, or a related field, PhD preferred.
• Experience: Minimum of 5 years of experience in data science, with at least 1 year in a role focusing on Generative AI and/or Smart Manufacturing.
• Technical Expertise:
  • Proficiency in programming languages such as Python, R, or Java.
  • Strong experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
  • In-depth knowledge of Generative AI models (e.g., GPT, DALL-E, Llama) and their applications.
  • Expertise in data engineering, large-scale model training, and deployment.
• Leadership Skills: Proven ability to lead and inspire teams, manage complex projects, and drive cross-functional collaboration.
• Industry Knowledge: Experience in the manufacturing sector is highly desirable, with a strong understanding of smart factory operations and challenges.

Your experience includes:

• Strategic thinking with a focus on delivering measurable business value.
• Strong problem-solving and analytical skills.
• Excellent communication and presentation abilities, capable of articulating complex AI concepts to diverse audiences.
• A passion for innovation and driving change through AI technologies.

Location:

Woodlands W3

Location: Woodlands, Singapore, W3
Travel: None