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Company Overview:
A leading global data storage company develops and manufactures a wide range of data storage products. Their offerings include hard disk drives (HDDs), solid-state drives (SSDs), and hybrid drives. They focus on providing high-capacity storage solutions to meet the growing demands of data-intensive applications and industries.
Job Description:
Senior Data Scientist
About the Role:
You will play a critical role in driving the adoption of Generative AI within the organization. Key responsibilities include:
- Generative AI Strategy and Implementation:
- Develop and execute strategies to integrate Generative AI tools and techniques into software development processes, improving efficiency and reducing development time.
- Identify opportunities to augment data science workflows using GenAI, enhancing model development, data analysis, and feature engineering capabilities.
- Team Leadership and Collaboration:
- Lead and mentor a cross-functional team of data scientists, machine learning engineers, and domain experts to design and implement GenAI solutions.
- Foster a culture of innovation and continuous learning within the team.
- Collaborate with stakeholders across engineering, manufacturing, and IT to align AI initiatives with business goals.
- Pilot Development of GenAI Agents for Smart Manufacturing:
- Design and lead pilot projects to develop GenAI agents that enable smarter, more efficient manufacturing processes, including predictive maintenance, anomaly detection, and process optimization.
- Evaluate and integrate emerging GenAI technologies to drive scalability and effectiveness in manufacturing applications.
- Research and Innovation:
- Stay abreast of advancements in Generative AI, machine learning, and related fields to bring cutting-edge solutions to the organization.
- Publish findings and contribute to thought leadership in the AI community to position the company as an industry leader in AI-driven manufacturing.
- Data Governance and Ethical AI:
- Ensure compliance with data governance policies, ethical AI principles, and relevant regulations in all AI initiatives.
- 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.
Disclaimer
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