Data Science Principal

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 13000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model the worlds biggest brands trust us to help them transport their goods more efficiently safely and with less environmental impact.

What does that mean for you Youll join an international organization big enough to take you anywhere and small enough to get you there sooner. Youll help change how goods get to market and contribute to global sustainability. Youll 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 .

As the Data Science Team Lead you will be developing tools and technologies that leverage Data from a variety of sources to increase supply chain efficiencies and provide value to our customer.

• Lead a team of data scientists providing mentorship and guidance on daily tasks fostering professional development and capability growth.
• Oversee the implementation of Continuous Integration / Continuous Deployment (CI / pipelines ensuring deliverables meet project milestones and quality standards.
• Apply advanced machine learning forecasting and statistical analysis techniques to drive experimentation and innovation on data science projects.
• Lead the experimentation and implementation of new data science techniques for projects ensuring alignment with internal and external customer objectives.
• Communicate project status methodologies and results to both technical teams and business stakeholders translating complex data insights into actionable strategies.
• Facilitate data science team discussions providing technical expertise on current methods and guiding decision-making for optimal outcomes.
• Contribute to strategic data science initiatives influencing the direction of key projects and aligning team efforts with broader business goals.
• Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms.

Experience in people and / or project management activities.

Utilized multiple data science methodologies.

Presented to non-technical audiences.

Researched and implemented new Data Science techniques .

Have worked autonomously and delivered results on schedule.

Degree in Data Science Computer Science Engineering Science Information Systems and / or equivalent formal training plus work experience

BS & 7 years of work experience

MS & 6 years of work experience

Proficient with machine learning and statistics .

Proficient with Python deep learning frameworks Computer Vision Spark .

Have produced production level algorithms .

Proficient in researching developing synthesizing new algorithms and techniques .

Excellent communication skills .

Masters or PhD level degree

7 years of work experience in a data science role

Proficient with cloud computing environments Kubernetes etc.

Familiarity with Data Science software & platforms (e.g. Databricks)

Software development experience

Research and new algorithm development experience

Demonstrable experience of machine learning techniques and algorithms

Experience with statistical techniques and CRISP-DM lifecycle.

Commercial e xperience or experimental Jupyter notebooks to production .

Production ML Experience :
Deployed models that serve real users ability of scale to million users without incurring technical debt.

Strong programming skills in Python and familiarity with ML libraries and frameworks such as Tensor Flow PyTorch Scikit-learn or similar.

MLOPS experience with tools such as Drift Decay A / B Testing. Integration and Differential testing python package building code version etc.

Experience with data pipeline creation and working with structured and unstructured data.

Familiarity with cloud platforms (AWS Azure GCP) and containerization technologies (Docker Kubernetes)…