Job description

Job Description

The Data Scientist is an integral part of BlueScope’s growing, global analytics function that is looking advance our Industry 4.0 journey.

You will create and implement machine learning initiatives that impact the future success of advanced analytics programs, reporting to the Advanced Analytics Manager.

What you will do

You will work closely with a niche team of Data Scientists and Software Engineers, to build complex models that will add commercial or productivity value, to our global operations.

You will work as part of a growing global team that operate across business units and countries. Your will focus on optimising machine learning initiatives, through the collation and manipulation of data from various systems and sources. You will engage with Subject Matter Experts across manufacturing, sales, marketing and supply chain streams, to understand processes, ways of working and data flows. You will develop use case initiatives that will help drive automation opportunities that align to BlueScope’s digital future.

You will work closely and develop meaningful relationships with regional technology teams and cross-functional business streams. Utilising your attention to detail and knowledge of data models, you’ll guide and enable the team to operate efficiently and effectively, in order to produce value-based outcomes.

New ways of working are critical to realising the types of impact that we want this role to create across the organisation. You will be a role model for this approach, travelling where you and your team add most value and promoting a flexible work environment.

What are we looking for?

We’re expecting you to be a proactive and reliable team player, who is able to build trust and meaningful relationships across a global organisation. You will have proven statistics or relevant complex problem solving skills combined with commercial work experience. You have experience in flexing between hands on software development to data analysis. You will need to display resilience to operate within an immature data environment and progress towards better operating governance and standards.

You are a tertiary-qualified practitioner with hands on experience programming in Python, SQL, or R and have some exposure to cloud-based systems such as AZURE or AWS. Exposure to data wrangling, data lakes and devops environments would be advantageous. Experience operating in complex and sizable organisations, utilising large amounts of unstructured data, would also be preferred.

Work Environment

Location is Melbourne.

Contact Ken Kwan, Global Lead Executive Recruitment, on email for more information and a confidential discussion.

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