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CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

About the Role :

Develop and apply advanced data-driven solutions using machine learning and statistical models to address complex business challenges.

Build trust and drive the adoption of data science solutions by communicating insights and technical solutions to stakeholders in a clear and actionable way.

Shapes project collaborations across teams, providing mentorship, and driving capability development across the Data Science team.

Key Responsibilities may include :

• Collaborate with key stakeholders to identify business challenges, translating ambiguous problems into structured analyses using statistical modelling and machine learning algorithms.
• Lead the selection, validation, and optimization of models to discover meaningful patterns and insights, ensuring models remain relevant, reliable, and scalable.
• Drive continuous integration and deployment of data science solutions, optimizing performance through advanced machine learning techniques, code reviews, and best practices.
• Develop and deliver sophisticated visualizations, dashboards, and reports to translate complex data into clear, actionable insights for business stakeholders.
• Present technical solutions to business stakeholders, using creative methods to explain complex concepts, increase understanding, and encourage solution adoption.
• Mentor and develop junior data scientists, fostering a culture of continuous learning, knowledge sharing, and skills development within the organization.
• Write clean, high-quality code, ensuring all outputs pass quality assurance checks, and contribute to the development of novel solutions to solve complex business problems.
• Stay informed on industry trends, emerging tools, and techniques, applying them to improve data science practices and encourage innovation within the team.
• Lead strategy development for one or more data products, managing roadmaps, identifying requirements, and collaborating with business stakeholders to ensure alignment with business goals.

THE ROLE

We're looking for a Senior Data Scientist to develop and deploy data-driven solutions that solve complex business challenges. You’ll be responsible for building robust machine learning models, designing rigorous experiments, and helping integrate AI-driven insights into our operations. This role blends deep technical expertise with strong problem-solving skills and the ability to write clean, production-ready code that scales.

You’ll work closely with data engineers, product managers, and business leaders to ensure our models are impactful and practical. Along the way, you’ll contribute to shaping the future of the Data Science team by mentoring junior team members and driving best practices in experimentation, model deployment, and software development.

WHAT YOU'LL DO Machine Learning & Advanced Analytics

• Build and deploy machine learning models that drive measurable business value.
• Own the end-to-end model development lifecycle, from data exploration to deployment and monitoring.
• Ensure models are robust, explainable, and scalable, improving performance over time.
• Apply supervised and unsupervised learning techniques, forecasting methods, and optimization algorithms to solve business problems.
• Design and execute A / B tests and other experimental methodologies to validate solutions.
• Use statistical techniques to measure impact and ensure rigor in decision-making.
• Communicate findings clearly, helping teams make data-driven choices based on solid evidence.

Software Development & Deployment

• Write high-quality, maintainable code in Python and SQL, following software engineering best practices.
• Work within an enterprise-grade software environment, using tools like Git, CI / CD, Bitbucket, and automated testing.
• Deploy and monitor models in cloud-based production environments (Databricks), ensuring performance and reliability.
• Utilize MLOps tools (MLFlow, etc.) to track, version, and improve model performance over time.
• Work with stakeholders across the business to identify opportunities for data science solutions.
• Drive new model use case development, ensuring technical feasibility and business impact.
• Collaborate with data engineers and product teams to integrate models into decision-making workflows.
• Provide technical guidance and mentorship to junior data scientists.
• Champion best practices in machine learning, experimentation, and software development.
• Stay up to date with emerging technologies and methodologies, bringing new ideas into the team.

WHAT WE’RE LOOKING FOR

• Master’s degree in a STEM field (Computer Science, Data Science, Engineering, Mathematics, etc.) preferred.
• 5+ years of experience in applied data science (minimum 3 years for highly qualified candidates).
• Strong programming skills in Python and SQL, with experience in Pandas, Scikit-learn, PySpark.
• Experience developing machine learning models and identifying value-driving use cases that align with business needs.
• Solid understanding of A / B testing and experimental design.
• Experience in enterprise-grade software development, including version control (Git), CI / CD, modular code design, and testing frameworks.
• Hands-on experience with cloud platforms (AWS, Databricks) and MLOps tools (MLFlow, Bitbucket, CI / CD).
• Ability to communicate complex technical concepts to both technical and non-technical audiences.
• A problem-solver who enjoys working independently but also thrives in a collaborative team environment.

WHY JOIN?

• Be part of a team that’s using cutting-edge AI and machine learning to optimize global supply chains.
• Competitive compensation, flexible work environment, and strong professional development support.
• Work in a collaborative, innovation-driven environment where your ideas make a real impact.
• Grow your career with learning and development opportunities, plus the chance to shape how data science is done at Brambles.

Remote Type : Hybrid Remote

Skills to succeed in the role : Active Learning, Adaptability, Bitbucket, Cloud Infrastructure (AWS), Code Reviews, Cross-Functional Work, Curiosity, Databricks Platform, Data Science, Data Storytelling, Digital Literacy, Emotional Intelligence, Empathy, Git, Initiative, Machine Learning, Problem Solving, Python (Programming Language), SQL Tools

CHEP Canada invites applications from all qualified individuals. CHEP is committed to fostering workplace diversity, and provides accommodations to applicants with disabilities throughout our hiring process. If you require this information in alternate format; require communication supports; an accommodation in applying for a posting and / or if you are selected for an interview, please contact our Recruiting Department and a recruiter assigned to the posting will work with you to meet your needs.

We are an Equal Opportunity Employer and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

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