Lead Data Scientist
3 weeks ago
About McCain Foods
McCain Foods is a global, family-owned company dedicated to diversity and innovation. We strive to create an inclusive, equitable, and diverse workplace that fosters creativity and success. With a focus on antiracism and merit-based opportunities, McCain values the unique perspectives of all employees.
Overview
McCain is undergoing a digital transformation to enhance data systems and build digital products for internal and external stakeholders. The Technology team aims to drive growth through innovative technology experiences, with a particular emphasis on digital transformation in manufacturing through the MDI x AI program.
Job Purpose
The Lead Data Scientist will spearhead the development of data and analytics strategies, focusing on digital manufacturing, artificial intelligence (AI), and Internet of Things (IoT) technologies. This role aims to optimize manufacturing operations, enhance productivity, and drive efficiencies through advanced analytics solutions.
- Responsibilities
- Design and implement cutting-edge digital manufacturing solutions leveraging IoT devices, AI, and data analytics.
- Collaborate with cross-functional teams to develop machine learning models and analytics solutions tailored to manufacturing needs.
- Define and maintain a comprehensive data analytics roadmap aligned with overarching manufacturing goals.
- Analyze manufacturing data to facilitate proactive maintenance strategies and process optimization initiatives.
- Integrate digital manufacturing technologies seamlessly with existing software systems for efficient data flow.
- Stay abreast of emerging technologies and best practices in the field of digital manufacturing.
Qualifications and Experience
- Bachelor's degree in engineering, computer science, or a related field; advanced degree preferred.
- Proven experience in digital manufacturing, AI, IoT, and data analytics.
- Strong technical expertise in IoT technologies, data acquisition, and automation platforms.
- Proficiency in machine learning algorithms and statistical analysis techniques.
- Demonstrated success in implementing advanced analytics solutions within a manufacturing environment.
- Exceptional communication skills and the ability to lead cross-functional teams effectively.
- A passion for innovation and continuous improvement in manufacturing processes.
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