Senior Data Scientist

About the position

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.

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 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.

Requirements

• 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.

Benefits

• Competitive compensation
• Flexible work environment
• Strong professional development support
• Collaborative, innovation-driven environment