Senior Manager, Data Science and GenAI Lead
BramblesAtlanta, Georgia, United States
Posted December 18, 2025
Full Time
About the Company
Under the CHEP brand Brambles helps move more goods to more people, in more places than any other organisation on earth. Its pallets, crates and containers form the invisible backbone of the global supply chain and the world’s biggest brands trust Brambles to help them transport their goods more efficiently, sustainably and safely. As pioneers of the sharing economy, Brambles created one of the world's most sustainable logistics businesses through the share and reuse of its platforms under a model known as ‘pooling’. Brambles primarily serves the fast-moving consumer goods (e.g. dry food, grocery, and health and personal care), fresh produce, beverage, retail and general manufacturing industries. The Group employs more than 12,000 people and owns approximately 360 million pallets, crates and containers through a network of more than 750 service centres. Brambles operates in approximately 60 countries with its largest operations in North America and Western Europe. For further information, please visit brambles.com
Job Description
Lead a team of data scientists, driving capability development and overseeing project collaborations across teams to ensure successful execution of data science initiatives. Apply advanced data science methodologies, including machine learning and statistical analysis, to deliver impactful solutions for both internal and external stakeholders. Foster a culture of continuous learning and innovation, contributing to strategic data science initiatives that align with business goals.
Requirements
- Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth.
- Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards.
- Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects.
- Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives.
- Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies.
- Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes.
- Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals.
- Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms.
Benefits
- Hybrid Work Model
- Flexible work-life balance
- Opportunities for professional development and growth
- Collaborative and diverse work environment
- Equal Opportunity Employer with a commitment to diversity and inclusion