Chep | Team Lead Data Science | Australia

vor 2 Monaten

Central Coast, Österreich Tideri Jobbörse Vollzeit

time type Full time
posted on Posted Today
time left to apply End Date: January 31, 2025 (30+ days left to apply)
job requisition id JR18919
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.

Job Description
Global, ASX-listed market leader in Logistics & Supply Chain | One of the World's most sustainable companies Dynamic, collaborative team that's shaping the future of digital supply chains.
Develop data-driven tools to optimize Supply Chain & Asset Productivity, delivering greater value to customers whilst driving strategic initiatives through collaboration and fostering team growth.
Are you ready to bring your strong curiosity and technical perspective to new business challenges?
Have you gained a depth of experience in data science, AI algorithm and system design, driving outcomes with cross-functional teams across multiple time zones?

As part of the brilliant & talented Brambles Data & Analytics team, reporting directly to Data & Analytics Lead for AMETA (APAC + IMETA), you will be a role model and mentor, guiding a team of Data Scientists (2) to successfully deliver major projects.
Your expertise will help shape the standards and best practices across the team and organization.

This position can either be based in Australia or South Africa .

What You'll Do:
Combine math and statistics, specialised programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights.
Leads on experimentation with and implementation of new data science techniques on internal/external customer projects.
Apply advanced knowledge of Continuous Integration/Continuous Deployment methodologies to deploying and maintaining Machine Learning models reliably and efficiently in Production.
Communicate project status, methods, obstacles, and results to wider technical teams and business stakeholders.
Managing a small team of data scientists (2) across multiple time zones.
Lead data science team discussions, providing insight as needed on current approaches and methods.
What will ensure your success in the Role:
Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience.
Proficient with machine learning models (Supervised; unsupervised; reinforcement) including the productionisation thereof.
Proficient with coding in Python, PySpark.
Proficient with designing and building AI Systems (Decision Intelligence).
Extensive experience working with the Databricks Data Intelligence Platform.
Proficient in researching, developing, synthesizing new algorithms and techniques.
Excellent communication skills.
Extensive experience working in large international corporations.
Participated in numerous data science projects.
Have worked autonomously and delivered results on schedule.
Have presented results to non-data scientist audience.
Experience working under different project management frameworks (Waterfall; Agile).
Mathematics and Statistics for Data Science.
Critical thinking and research skills.
Preferred Education
Bachelors
Preferred Level of Work Experience
7 - 10 years
Remote Type
Hybrid Remote
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.

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