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Magic Eden

Staff Data Scientist

Reposted 12 Days Ago
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In-Office or Remote
Hiring Remotely in Melbourne, Victoria
Senior level
In-Office or Remote
Hiring Remotely in Melbourne, Victoria
Senior level
The Staff Data Scientist will lead data and metrics functions for the Dicey platform, developing key performance metrics and risk monitoring systems, collaborating with cross-functional teams, and presenting insights to influence business decisions.
The summary above was generated by AI

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

Top Skills

Python
R
SQL

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