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We are building the future of marketing by rewarding our community of over 60 million users for engaging with our advertisers’ products. We are offering a new way to acquire users for the biggest companies in the world.
Data Scientist
The Role
We Are Looking For Versatile Data Scientists To Join Us At a Pivotal Stage Of Growth. We Don’t Believe In a "one-size-fits-all" Data Profile. We Value Diverse Technical Lenses—whether You Are Someone Who
- thrives on topics like causal inference, measurement expertise, experimental design, or builder of business logic with a rigorous mathematical backbone who scales data products,
- zero-to-one specialist who loves the ambiguity of turning a raw idea into a revenue-generating system.
You will be part of a team that prizes "AI-First" thinking and building. We want people who love to debug a problem deeply once, if you have to debug it twice, it’s time to automate it. We strive for high standards but remain focused on business outcomes. Every model or dashboard must have a clear "so what?"
What You Might Work On
Depending on your seniority, experience or specialisation, your impact may involve some (but not all) of the following:
- Designing ML models that power real-time recSys, ranking and pricing algorithms, optimising for engagement and conversion within our gaming ecosystem.
- Building reward structures and user-incentive systems that balance user motivation with sustainable ROAS through uplift modelling and pricing optimisation.
- Leading complex experimentation iterations in data driven verticals, product or user acquisition, including causal impact estimation or measurement strategies such as MMM and Multi-Touch Attribution.
- Zero to one projects, taking a blank slate in a unexplored domain and turning it into a production-ready data product, from initial data structures to final deployment.
- Partnering with engineering to refine and develop our stack and system architecture and establishing "gold standard" documentation.
- Strong experience building and deploying machine learning models in a product-driven environment, ideally in Gaming, AdTech, gambling or user-incentive systems.
- Robust experience of data engineering workflows and modern data stack tools (e.g DBT, Airflow, K8s, Terraform).
- Proficiency in Python and SQL; experience with cloud platforms (GCP preferred)
- Excellent communication and leadership skills, with the ability to drive clarity, create structure, and bring stakeholders on board.
Key Skills
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