Data Scientist

Key Skills

Python Programming, Azure, Machine learning techniques, Data science techniques, NumPy, Pandas, PySpark, Supply Chain Management, Databricks, Effective communication skills

Job Description

Our ambition In ANZ is to become a truly Digital business, obsessed with focus, execution and winning. To do this, we are driving a significant Supply Chain Digital Transformation, building strong data and digital foundations to power advanced analytics, robotics and automation that transforms how we PLAN, MAKE and DELIVER in ANZ. 

The Smart Factories programme will transform how we MAKE product in ANZ.

It is a wide ranging programme to build strong manufacturing data foundations and leverage these to optimise our factory operations now and In the future.

What would be your key responsibilities?

• Apply data science approaches to design products that optimise factory operations
• Use machine learning techniques, visualizations, & statistical analysis to gain insight into manufacturing data sets – some readily available, and some you create and curate yourself
• Lead Smart Factory data science projects in collaboration with other team members (including with offshore talent partners) to ensure rapid development of quality, scalable and sustainable analytics solutions, with global best practices and consistency  
• Collaborate with internal and external teams to ensure we focus on pet-centric product and service recommendations
• Develop compelling stories that provide insight into the drivers of manufacturing performance
• Ensure outstanding delivery of manufacturing insight, analytics and data science for Pet Nutrition ANZ

Qualifications and Experience:

• Bachelor’s degree or equivalent in Data Science, Mathematics, Statistics, or other numerate discipline
• Nice to have – Masters / Degree with some computing, scientific, statistical or mathematical component
• 3+ years varied technical experience in delivering statistical analytics, data science and insight on large-scale data sets across multiple sectors, including packaged goods and retail, Ideally In Supply Chain or Manufacturing
• Hands-on experience with Python (numpy, pandas, etc) is required; Familiarity with PySpark is also desirable
• Excellent communication skills, and interact effectively with internal stakeholders
• Familiarity with cloud-based computing services e.g. Azure, Databricks, etc. (Desirable)

What can you expect from Mars?

• Best-in-class learning and development support from day one, including access to our in-house Mars University.
• Global health and wellbeing program to support flexibility and work-life balance.
• Opportunity to make a difference with our volunteer and ambassador programs.
• Be part of a company that is contributing to making the world a better place today and every day through on our sustainable generation plan.
• A culture that offers collaboration, leadership and rewards you for the role you play within Mars.

Applications will close on Sunday 24th of March, 2024

Please note: This opportunity is a 2-year fixed term contract opportunity. There may be relocation on offer for selected candidates.

Mars is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need assistance or an accommodation during the application process because of a disability, it is available upon request. The company is pleased to provide such assistance, and no applicant will be penalized as a result of such a request.