Develop and apply advanced datadriven 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 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 highquality 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

Were looking for a Senior Data Scientist to develop and deploy datadriven solutions that solve complex business challenges. Youll be responsible for building robust machine learning models designing rigorous experiments and helping integrate AIdriven insights into our operations. This role blends deep technical expertise with strong problemsolving skills and the ability to write clean productionready code that scales.

Youll work closely with data engineers product managers and business leaders to ensure our models are impactful and practical. Along the way youll 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.

ABOUT THE ROLE

Develop and apply advanced datadriven 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

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 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 highquality 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.

WHAT YOULL DO

Machine Learning & Advanced Analytics

Build and deploy machine learning models that drive measurable business value.

Own the endtoend 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.

Experimentation & A/B Testing

Design and execute A/B tests and other experimental methodologies to validate solutions.

Use statistical techniques to measure impact and ensure rigor in decisionmaking.

Communicate findings clearly helping teams make datadriven choices based on solid evidence.

Software Development & Deployment

Write highquality maintainable code in Python and SQL following software engineering best practices.

Work within an enterprisegrade software environment using tools like Git CI/CD

Bitbucket and automated testing.

Deploy and monitor models in cloudbased production environments (Databricks) ensuring performance and reliability.

Utilize MLOps tools (MLFlow etc. to track version and improve model performance over time.

Model Ideation & Business Integration

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 decisionmaking workflows.

Leadership & Mentorship

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 WERE LOOKING FOR

Masters 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 Scikitlearn PySpark

Experience developing machine learning models and identifying valuedriving use cases that align with business needs.

Solid understanding of A/B testing and experimental design.

Experience in enterprisegrade software development including version control (Git) CI/CD modular code design and testing frameworks.

Handson experience with cloud platforms (AWS Databricks) and MLOps tools (MLFlow Bitbucket CI/CD).

Ability to communicate complex technical concepts to both technical and nontechnical audiences.

A problemsolver who enjoys working independently but also thrives in a collaborative team environment.

WHY JOIN

Be part of a team thats using cuttingedge AI and machine learning to optimize global supply chains.

Competitive compensation flexible work environment and strong professional development support.

Work in a collaborative innovationdriven 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

Skills to succeed in the role

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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