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Team Lead Data Science

1 month ago

Sandton, South Africa Brambles Group Full time

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

TEAM LEAD: DATA SCIENCE
- 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.
- Supply Chain Optimization: Develop data-driven tools to enhance supply chain efficiency and deliver greater value to customers.
- Leadership in Data Science: Drive strategic initiatives through collaboration, mentorship, and fostering the growth of junior colleagues’ skills.
- Are you a visionary leader with a passion for data and a knack for storytelling? Do you excel in leveraging advanced analytical techniques to uncover deep insights and drive impactful business decisions?_

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 Insight Analysts to deliver actionable insights and recommendations. Your expertise will help shape the standards and best practices across our team and the wider organization.

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

What You’ll Do:

- Leads on experimentation with and implementation of new data science techniques on internal/external customer projects.
- 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.
- Utilized several data science methodologies.
- 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. 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.