CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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
POSITION PURPOSE
To assist in developing tools and technologies that leverage data from a variety of sources to increase supply chain efficiencies and provide value to our customers.
MAJOR / KEY ACCOUNTABILITIES
• Responsible for experimenting with and implementing machine learning techniques on internal/external customer projects
• Responsible for learning new data science techniques/programming languages and exploring their viability on current projects
• Will contribute to data science team discussions, providing insight as needed on current approaches and methods
MEASURES
• Successful application of data science principles
• Successful completion of projects
AUTHORITY / DECISION MAKING
• Data science model selection and implementation
• Working autonomously
KEY CONTACTS
Internal: Other data scientists, data science manager, project stakeholders
External: Project stakeholders
QUALIFICATIONS
• BS degree in Data Science, Computer Science, Engineering, Information Systems and/or equivalent formal training
• Proficient with machine learning and statistics
• Proficient with Python, deep learning frameworks, Spark
• Excellent communication skills
Desirable Qualifications:
• 1-2 years work experience in data science position
• Proficient with Go, C/C++, other languages
• Proficient with cloud computing environments, Kubernetes, etc.
• Software development experience
EXPERIENCE
• Participated in numerous data science projects
• Utilized several data science methodologies
• Have worked autonomously and delivered results on schedule
• Have presented results to non-data scientist audience
SKILLS AND KNOWLEDGE
• Strong programming skills (Python, R, etc.)
• Knowledge of major data science topics, models, and methods (from logistic regression to advanced neural networks)
• Strong analytical skills
Preferred Education
BachelorsPreferred Level of Work Experience
1 - 3 yearsRemote Type
Hybrid RemoteWe 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 recruitment@brambles.com.