Overview
Heads up
This role is primarily onsite, at our office in Brisbane (Teneriffe), Australia.
ZeroFlucs develops innovative software that enables sports betting operators to enhance their pricing models by leveraging existing data sources and relationships.
Our technology supports features such as same-game and same-race parlays, cross-event betting, and content enhancement, providing a comprehensive solution for modern sportsbook management.
ZeroFlucs is a subsidiary of Caesars Entertainment, Inc., a leading casino-entertainment company in the United States.
ZeroFlucs bolsters Caesars Digital's trading capabilities, including a fully in-sourced solution for same-game parlay correlation pricing.
The Role
We're on the lookout for a Data Scientist to join a high-performing team that powers the brain behind our sports betting platform.
From building predictive models to identifying actionable insights, this role sits at the intersection of data, sport, and real-time decision-making.
You'll work closely with software engineers, traders, and product teams across time zones to develop data-driven features and tools that are fast, scalable, and smart.
This isn't a back-office analytics gig — the role required being embedded in a product-focused team where the work impacts live systems, trading strategies, and customer experiences.
The ideal person will love working with real-world data, solving complex problems, and shipping models into production.
Tech, stack and equipment
Cloud-native infrastructure (AWS, GCP, or OCI)
Agile management tools (Asana)
MacBook Air M3
What you bring to the table
Solid foundations in statistics, machine learning, and data analysis
Strong Python skills and familiarity with core data science libraries
Experience working with large datasets and querying databases (SQL/NoSQL)
A practical mindset for putting models into production and measuring their impact
Comfort working in cross-functional teams with engineers, product managers, and traders
Excellent problem-solving instincts and an eye for spotting signal in noise
Clear, concise communication skills — written and verbal
A degree (or equivalent experience) in Data Science, Computer Science, Mathematics, or a related field
An interest in sports
Bonus points if you've worked in high-velocity environments like finance, gaming, or sports analytics — or if you can explain a model and argue a referee decision.
Why you'll want to work with us
Regardless of the below perks, when you meet our team and see how we operate, and the rest are just bonuses.
Competitive salary with annual cash incentives and long-term incentive plans
Birthday leave
4x Fluc No days annually
Paid family growth leave
Dog friendly office space
Quarterly offsite team activities and events
Fortnightly catered lunch & monthly breakfast
So, so much more... we'd be happy to share our policies with you post interview.
Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Gambling Facilities and Casinos
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