Data Scientist - Santa Clara, CA (Hybrid)

Brambles companies, including BXB Digital and CHEP, help move more goods to more people, in more places than any other organization on earth. Our 350+ million pallets, crates, and containers are continuously in motion, forming the invisible backbone of the global supply chain. The world’s biggest brands trust us to help them transport their goods more efficiently, sustainably, and safely. We want to ensure we play our part in stopping climate change. 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. To enable us to do this, we need to digitize what we do. Moving so many pallets to so many customers generates a lot of data – over 2 billion rows and counting. We need to utilize modern methods to capture and analyze data, ensuring that we can track where our pallets are, what they’re being used for, and ensuring they return to the pool to be reused in the future. We need to ensure what we build not only works for the now but for the future as well.

DATA SCIENTIST 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

• Experimenting with and implementing machine learning techniques on internal/external customer projects.
• Learning new data science techniques/programming languages and exploring their viability on current projects.
• Contributing to data science team discussions, providing insight on current approaches and methods.

MEASURES

• Successful application of data science principles.
• Successful completion of projects.

AUTHORITY / DECISION MAKING
Responsible for 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, 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 a data science position, proficient with Go, C/C++, other languages, and cloud computing environments (Kubernetes, etc.); software development experience.

EXPERIENCE
Participated in numerous data science projects utilizing several methodologies, working autonomously and delivering results on schedule, and presenting results to non-data scientist audiences.

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), and strong analytical skills.

SALARY RANGE
The salary range for this position is $111,000 to $153,000/year. Salary ranges take into account various factors including skill sets, experience, training, geographical differentials, and other organizational needs. Actual amounts offered may differ within this range. If you have questions, please speak to your Talent Acquisition Partner about the flexibility of our compensation philosophy. Other forms of compensation may be part of a total offering beyond medical and retirement benefits and may include additional monetary incentives or business benefits.