Brambles companies, including CHEP, help move more goods to more people, in more places than any other organisation on earth. Our 330 million pallets, crates and containers are continuously in motion, forming the invisible backbone of the global supply chain and the worlds biggest brands trust us to help them transport their goods more efficiently, sustainably and safely. As pioneers of the sharing economy, Brambles created one of the world’s most sustainable logistics businesses through the share and reuse of its platforms under a model known as pooling. Brambles primarily serves the fast-moving consumer goods (e.g. dry food, grocery, and health and personal care), fresh produce, beverage, retail and general manufacturing industries. The Group employs more than 10,000 people and operates in over 60 countries with its largest operations in North America and Western Europe. For further information, please visit www.brambles.com.
To develop tools and technologies that leverage data from a variety of sources to increase supply chain efficiencies and provide value to our customers.
Use algorithms and programming to efficiently go through large datasets and apply treatments, filters and conditions to company data
Apply Management Science/Data Science capabilities available through existing SCM applications
Create meaningful data visualizations
Will contribute to data science team discussions, providing actionable insight as needed on current approaches and methods
Supports users in terms of model problem resolution, training and general support.
Conducts what-if models and scenarios
Contribute to the development and testing of SOPs, systems, and apps to provide solutions for large scale implementation.
Develop and foster partnership with BU Operations to transfer technology by providing SOPs and training to support digital device implementations. Confirm compliance of SOPs by performing follow ups with BU operations and audits
Extract value out of big data
Extract value from existing, underutilized IT solutions
Implement new techniques/processes in the company
Technical/BS degree with experience in Operations Research, engineering, Data Science, Computer Science, Information Systems and/or equivalent formal training
Understanding of basic SCM processes
Bachelors degree in Operations Research, Engineering, Computer Science, Data Science, Information systems . Business degree with strong quantitative skills is acceptable.
Masters Degree or equivalent experience
Supply chain management
1-2 years work experience in data science position. .
Skills and Knowledge
Knowledge of Advanced Planning and Scheduling tools
Strong data analytical skills, including proficiency with SQL and Excel
Skilled in handling large data sets
Knowledge of supply chain theory
Understanding of mathematical optimization techniques applied to Supply Chain Networks
Comfort collaborating with people in other countries, from different cultures, and where English is not their native language
Decision-making and problem-solving skills
Demonstrate strong communication skills, oral and written with strong ability to communicate across all levels of the business including formal and informal presentations and workshops.
Ability to accurately estimate effort and provide development estimates.
Ability to develop and manage to work plans.
Ability to work independently and efficiently.
Proven capability to coordinate multiple assignments/projects simultaneously while meeting aggressive deadlines.
Experience with SOPs and training to SOPs.
Be self-driven and communicate effectively in a remote work environment
Proven success in an operations or operations support role at achieving performance targets (KPIs) like productivity, quality, cost, and safety.
Experience in process development, implementation, and improvement.
Have flexible work schedule to support activities in other countries/time zones.
Masters – Computer Engineering
Preferred Level of Work Experience
1 – 3 years
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.
Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at [email protected]
¿Deseas recibir emails de trabajo?