Data Scientist

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

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

Remote TypeHybrid RemoteSkills to succeed in the roleActive Learning, Adaptability, Bitbucket, Cloud Infrastructure (Aws), Code Reviews, Cross-Functional Work, Curiosity, Databricks Platform, Data Science, Data Storytelling, Digital Literacy, Emotional Intelligence, Empathy, Git, Initiative, Machine Learning, Problem Solving, Python (Programming Language), SQL Tools

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].