CHEP is looking to solve the problem of helping the world's biggest brands transport their goods more efficiently, safely and with less environmental impact through its share-and-reuse business model, and this role is expected to contribute to this goal by leading a team of data scientists and driving capability development and overseeing project collaborations across teams to ensure successful execution of data science initiatives.
Requirements
- Knowledge of programming languages (e.g., SQL, Python)
- Database systems (e.g., SQL Server) and cloud infrastructures (e.g., AWS)
- Machine Learning concepts, Data Science, GenAI, and Software Development techniques for data products
- Bitbucket
- Cloud Infrastructure (Aws)
- Databricks Platform
- Data Science
- Git
- Python (Programming Language)
- SQL Tools
Responsibilities
- 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.
Other
- Bachelor's degree in Business Administration, Economics, Data Analytics, Computer Science, Information Systems, or a related field.
- 5+ years in Data Science, Software Development, Data Analytics, or related fields, including 3+ years in a managerial capacity
- Excellent leadership and people management skills, with a track record of building and motivating high-performing teams
- Strong analytical and problem-solving abilities, with the ability to translate complex business requirements into technical solutions
- Effective communication and interpersonal skills, with the ability to collaborate, simplify ideas and influence stakeholders at various levels within the organization
