Job description
A new role = A new way to win together
You belong at Coles Group where we look ahead, have a plan, and are up for the challenge. We learn and grow by taking career-defining opportunities and this one may just be your next.
If you’re looking for a fresh start, you’ve come to the right place. We’re a large and iconic portfolio of trusted Australian brands – which means there are always exciting challenges and career opportunities waiting for you.
As the way we shop continues to evolve, our Digital team keeps us at the cutting edge. Driven by our innovative, inclusive and forward-thinking culture, we’re constantly looking at ways to reinvent the shopping experience for our customers and build the next generation of digital retailing.
What you’ll be doing
Part of the broader Digital team, Advanced Analytics are responsible for the development and support of applications across multiple enterprise platforms including Finance, Procurement, Human Resources, Risk, Safety and Legal.
As part of the Advanced Analytics team, you will be participating in the delivery of projects in line with best practice to deliver solutions and services to stakeholders. You will be the use of Advanced Analytics solutions within Coles by researching new techniques in areas of prediction, regression, machine learning, text mining, mathematical optimisation etc to identify new opportunities for future solutions, and translating complex mathematical techniques into commercial concepts.
Good things you’ll need
- Analytics professional with a proven track record in advanced analytics / data science / Measurement science and/or Econometrics
- Track record in designing and delivering AA solutions
- Key analytical techniques, e.g. regression, clustering, decision trees, machine learning, text mining, mathematical optimisation etc.
- Analytical applications -R, Python, Scala, Hive, Spark, SQL, Excel
- Productivity applications - Git, Jira, Confluence
- Bachelor or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, Econometrics, Applied Statistics, Physics, Engineering or related field.
- Business and commercial acumen
Job ID: 20732
Employment Type: Full time
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