Data Scientist

vor 1 Woche

Melbourne, Österreich Sportsbet Pty Ltd Vollzeit

Data Scientist – 12 Month FTC

Join a passionate team of industry experts in delivering brilliant products and experiences for our 2.3+ million customers.

  • Be part of one of the most innovative companies in Australia
  • A place to be yourself and thrive
  • 0.6% median gender pay gap and recognised as a Top 10 place to work for women (by Work180) & Top 25 companies for career development (by LinkedIn)

About Us
Sportsbet is a leading Australian e-commerce business in the online wagering sector, bringing excitement to over 2 million Aussies. We do this by living our values to create an innovative entertainment brand, trailblazing products and best-in-class platforms that deliver great experiences to our customers.

We have over 1,300 team members at Sportsbet but as part of the Flutter Group, we’re a true global player.

Committed To Safer Gambling

Our commitment to safer gambling is genuine and demonstrated through the wide range of responsible gambling initiatives and tools.

We’re proud to be the leaders in safer gambling in our industry, not just locally, but globally.

About The Role

In the Data Science team, we work collaboratively with teams across the organisation to create and evolve end-to-end solutions that have Data Science at their core. From sports modelling to product personalisation, our team thrives on unleashing the power of data to improve the quality, speed and complexity of the decisions and actions they drive. Our models not only power many of the products our customers get to enjoy, but they also take many of our internal processes to the next level.

Reporting into the Data Science Lead, this role will work in the customer/marketing team and will involve building and continuously improving data science models and ML-driven customer-facing products for promo optimisation. Not only do we innovate with product, but also in the way we build, develop, deploy and maintain our solutions and how we leverage evolving platforms partnerships.

Responsibilities Include:

  • Work with key stakeholders from across the business to ensure that business requirements are explored, understood and considered when designing and building models
  • Communicate complex technical information in an easy-to-understand way to keep stakeholders engaged and aligned to progress
  • Design and deploy models in accordance with MLOps best principles to deliver high quality and supportable products
  • Work with technology teams to conceptualise and design solutions that are maintainable, robust and resilient.
  • Contribute to designing ways to test, track and communicate the ongoing impact of the solutions we deliver.

Key requirements:

  • Experience with conceiving, designing, building, deploying and monitoring machine learning models, with an excellent eye for detail
  • Commercially minded – track record of unlocking data to drive commercial value
  • Broad knowledge of statistical and computational methods for identifying patterns, extracting insights, and making predictions from complex datasets.
  • Strong programming skills (e.g. proficient in Python, R etc, with experience in Spark and Databricks a plus)
  • Degree in a quantitative discipline (e.g. Mathematics, Statistics, Physics, Computer Science)

The Perks

We work hard and play hard, so along with a competitive salary and generous performance-based bonus, here’s some of our other perks:

  • 25 days annual leave (that’s right, a whole extra week)
  • Weekly concierge service including free massages, manicure/nail appointments – all onsite
  • Daily fresh fruit, free breakfast, sparkling water and Kombucha on tap in the office (did we mention we have a bar fridge for Thursday night drinks?)
  • Tailored career development programs
  • Access to end of trip facilities with an onsite table tennis and pool table
  • Discounted gym memberships, and loads of internal events
  • Access to our Employee Assistance Program and a Circle In membership

We encourage you to apply as soon as possible as we review candidates within 2-3 weeks of advertising. Be sure to check out our Life@Sportsbet Instagram page, Sportsbet LinkedIn page as well our careers website for more information and insight into our culture.

Our Focus on Diversity, Equity & Inclusion

We’re an inclusive employer who welcomes you for who you are, as you are – so, if you require adjustments to the recruitment process, please let us know in your application or contact us if you’d like to discuss this in more detail.

If you think you’d be a great fit but don’t necessarily meet everything in the job description, please still get in touch.

Read more about our contribution to Flutter’s global Positive Impact Plan.

Need To Work Flexibly?

We know flex means different things to different people, let us know how we can support you to be your best.

Ready to bring excitement to life? Apply now

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