Senior Data Scientist - Digital

 [[cust_CareersBrand]]  MELBOURNE 


Requisition ID: 32936 

Employment Type: Full time 


Good things start here

This could be the very first step towards an exciting new career with us – a fresh beginning. At the Coles Group, these are moments we live for.

Starting good things is what drives our purpose: to sustainably feed all Australians so they can lead healthier, happier lives. With a team of 120,000 people and an iconic portfolio of Australia’s most trusted brands, we’re perfectly positioned to turn a promising start into a whole lot more.

 

Senior Data Scientist 

 

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.

 

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 bring 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.

 

What you’ll be doing

 

  • Act as a technical expert in one or more areas of Advanced Analytics
  • Design and drive technical solutions for the different initiatives across Coles
  • Research new Advanced Analytics opportunities in areas of prediction, regression, machine learning, text mining, mathematical optimisation etc to identify new opportunities for future solutions.
  • Participate in the delivery of Advanced Analytics projects and techniques in line with best practice.

 

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.
  • Be an expert on one or more technical areas
  • Analytical applications -R, Python, Scala, Hive, Spark, SQL, Excel
  • Productivity applications - Git, Jira, Confluence
  • Masters or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Econometrics, Applied Statistics, Physics, Engineering or related field.
  • Business and commercial acumen
  • Good scientific research skills,
  • keep updated with industry development and best practices
  • regular literature review

#LI-DIG3

Why Coles?
We’re committed to making this a great place to work, from day one. From flexible working arrangements to discounts across all our internal brands (including 5% off at Coles supermarkets!), there are plenty of reasons to love working here. Explore all this and more at our Coles Careers website.

Coles Group is an endorsed employer for all women. See our range of benefits and policies directly at WORK180: Coles Group – Work180 Endorsed Employer

For everyone who shares our passion
We encourage applications from people of all ages, nationalities, abilities and cultures – including Aboriginal and Torres Strait Islander peoples, the LGBTQI+ community and people living with disability. We’re happy to adjust our recruitment process to support accessibility needs – so reach out to us at www.careers.colesgroup.com.au > Careers for everyone > Disability employment.

We’d love to meet you
If you have the skills, experience and motivation to succeed in this role, please take the next step and submit your application.