Founding Data Scientist

Join Souq, and help build the first equities market for blockchain gaming, enabling players to own and invest in the games they love.

Souq was founded on one idea: Blockchain-based games represent the first opportunities for players to own the content they purchase and share in the financial upside of these game economies. Souq is lowering barriers to access and participate in GameFi. Our goal is to build the products and services that ensure an open financial system where players can thoughtfully invest in the games they love.

Using the same passion we have for our members, we are committed to building an inclusive environment where our employees can thrive and do impactful work. We believe in a work culture that balances meritocracy and technocracy. 

Recently we completed our Seed financing and are expanding the team. We’re looking for a talented Data Scientist that is a curious thinker and excited by the intellectual challenge of building the fundamental metrics that will define how the world evaluates blockchain game economies. Joining now means helping shape our technology and systems architecture to support our ambitious vision.

About the role:

Because these games are financialized at their core, everything at Souq is built on data insights. The Founding Data Scientist will lead efforts to organize, collate and identify key data sources to launch analytics and ML features that power the understanding of these game economies.

What you’ll do day-to-day:

• Develop an understanding of business needs and identify data sources and infrastructure needs that support roadmap goals
• Designing new machine learning systems to power the critical analytics that help players, guilds, and games manage their assets
• Building statistical models for measuring and understanding asset price and game economy movements
• Continually improve the statistical methodology underlying our experimentation platform
• Prepare and review white papers and developmental/testing evidence for model validation

About you:

• 4+ years of combined experience, with a minimum of 2 years in a commercial/business setting
• Graduate degree in a quantitative field such as mathematics, statistics, engineering, finance, economics (or equivalent research experience) 
• Experience writing production-quality, scalable, efficient code that is easily tested
• Experience in solving business tasks end-to-end using ML (feature engineering, training models, model inference)
• Experience with scikit-learn/PyTorch/TensorFlow 
• Expert-level familiarity with either Python or R programming languages
• Strong communication skills and ability to present sophisticated quantitative research clearly
• Expert understanding of statistical analysis and machine learning algorithms

Bonus points: 

• Passion for gaming, crypto, economics, or equities markets
• Experience with AWS, Solidity, Rust
• Experience running ML models in production

Significant equity stake