Data Solutions Developer (Python)

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

Our Asset Productivity and Control Intelligence  function is seeking for a Data solutions Developer/Python Developer to assist with continued implementation of new applications that can help us optimize the use of our assets (reduce losses, undercover patters and anticipate to issues). 

You will work on automation and adjust solutions to regional requirements in partnership with different functions across Brambles. 

You will be working with previously developed ML models to create a final application that meet CHEP regional needs coupled with any data analysis required to support implementations or changes 

Responsibilities

• Responsible for implementing AI/ML solutions developed by the Advance Analytics team by developing, designing, and testing a final solution aimed to optimize the use of our assets.
• Perform data analysis (What-If, Scenario and sensibility analysis) to support any new implementation required.  
• Assess implementation effectiveness by conducting tests and simulations on large sets of historical data
• Communicate with project SMEs the implementation process, design and data analysis findings
• Develop software solutions using Python that fit regional business needs aligned with Assent control Transformation program.
• Work closely with all internal SMEs to understand requirements.
• Ensure best practices implementation in order to improve service to the business.
• Propose enhancements on new/current processes (standardization, usability, workload).
• Identifying potential risks and issues and ensure these are pro-actively flagged and resolved throughout program lifespan.
• Communicating and documenting code changes following Asset Productivity and Control Intelligence guidelines (Jira, Confluence, BitBucket, etc).

Experience

• 5+ years professional experience in developing Python applications that implement machine learning models
• Expert knowledge of multiple programming languages including Python or C++ on UNIX and/or LINUX platforms
• Strong experience working with cloud platform providers like Amazon Web Services (S3, Athena)
• Solid understanding of Version Control principles (Git)
• Proved and successful track record in implementing python solutions (Data pipelines, Software applications, etc)
• SQL experience (Ability to read/write complex SQL queries)
• Ability to perform high data analysis to inform business decisions
• Good stakeholder management experience. Comfortable presenting to senior leadership and C-suite
• Working on remote teams
• Experience with Project Management (manage priorities, standardization, automation, troubleshooting and long-term planning)
• Experience implementing data new solutions from scratch
• Experience using Atlassian suite is highly valued.

Remote Type