Staff Data Scientist

About Us

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.

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.

Responsibilities

• 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

Requirements

• 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

Nice to Have

• Prior experience as a Head of DS or DS manager, especially if you've built or scaled a data function before
• Background at a crypto casino (Stake, Shuffle, Rainbet, Roobet) or comparable iGaming platform