Staff Data Scientist
Department: Product
Location: Melbourne, Australia
Employment Type: FullTime
At Magic Eden, we’re building the future of crypto entertainment. We began our Web3 journey as the NFT marketplace - but that was only the start. Today, we create immersive, social, onchain experiences that bring together culture, trading, gaming, and entertainment. Our goal is bold and simple: make crypto accessible, exciting, and unforgettable for the next generation of users. Backed by top-tier investors including Electric Capital, Lightspeed Ventures and Paradigm, we’re a global team of passionate, scrappy, and wildly talented people who don’t believe in limits. If you’re ready to take on big challenges, own your impact, and help shape the next era of Web3, you’re in the right place.
Magic Eden became one of the fastest companies in history to reach unicorn status, just 9 months after launch. Built on a foundation of crypto-native expertise and in-house engineering, we moved fast and proved the model. Now we’re taking that same energy into the next chapter: Dicey, our crypto casino and sportsbook platform targeting the $180B+ iGaming and sports betting markets.
About the role
In a short period of time, we’ve gone from zero to one with Dicey, building the product, proving early traction, and establishing a strong foundation. Now we’re scaling. As part of that growth, we’re hiring a Staff Data Scientist to own the data and metrics function for our casino and/or sports product.
We move fast, we work hard, and we have a lot of fun doing it. This is a high-hustle, high-grit team that values people who are both analytically sharp and able to operate with speed and autonomy. If you’re energized by building in a fast-paced environment where your work directly shapes product and business decisions, this is the role for you.
What you’ll do
- Own the data and metrics function for Dicey’s casino and/or sports product, building foundational frameworks from the ground up
- Define and develop key performance metrics across user growth, retention, incentive effectiveness, and revenue (GGR/NGR)
- Build proactive risk monitoring and alerting systems to detect abuse patterns and respond to novel exploits before they scale
- Partner closely with Product, Engineering, and BD to translate data insights into decisions that move the business
- Develop rigorous accounting and metric definitions (e.g. deposit bonus NGR, affiliate payout calculations) to support business operations
- Work across casino and sports workstreams from rewards progression modeling to sportsbook margin analysis, adapting to business priority
- Present findings and recommendations clearly to cross-functional stakeholders and founders
What you'll bring
- 8+ years of experience in Data Science or Analytics, with meaningful time spent in iGaming, crypto casino, or sports betting
- Deep domain knowledge in casino and/or sports betting metrics, you understand GGR, NGR, hold percentage, rakeback, and what good looks like in this industry
- Experience building risk monitoring frameworks and proactive alerting systems for abuse or anomaly detection
- Advanced SQL and proficiency in Python or R; comfortable building and owning data pipelines
- Strong communicator who can influence product and business decisions, technical rigor alone is not enough; you need to be able to land the insight
- Operator mindset, you move fast, adapt to shifting priorities, and thrive in a zero-to-one environment
- Experience working closely with Product and Engineering teams
- Prior experience as a Head of DS or DS manager is a strong plus, especially if you’ve built or scaled a data function before
- Background at a crypto casino (Stake, Shuffle, Rainbet, Roobet) or comparable iGaming platform is highly preferred
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