Description

Location: Fulltime onside in Barcelona

About us:

TyrAds is a leading tech-driven loyalty and rewards platform that partners with businesses to create meaningful and rewarding experiences for their customers. With millions of users across our platforms, we specialize in innovative AdTech solutions powered by big data, machine learning, and deep learning technologies.Our systems process over 10,000 events per second, delivering real-time insights at scale. We build seamless user experiences across web, Android, and iOS, while leveraging ML/AI to power personalization and advertising effectiveness. We are a team of 90+ employees worldwide and growing, guided by values of transparency, ownership, learning from mistakes, and respect for diverse cultures. Our product development follows Agile methodologies with weekly releases and collaboration tools such as GitHub, Jira, and Slack.

We are hiring a Senior Data Scientist to work alongside our Head of Product, Data, and turn our reward economy into models the business can act on.
This is a quantitative modelling role,



not a production ML role. Our machine learning engineering team owns real-time serving, latency and model monitoring. You define the model, you design the experiment that tests it, and you produce the measured result. They serve it.
The problems are commercial and they are hard. A single campaign can carry up to 50 rewarded events. Lower the payout on one of them and unit margin improves, users stop progressing, and advertiser revenue falls. Today those trade-offs are set by experience. Your job is to replace experience with measurement.

Requirements

Modelling
- 5+ years as a data scientist or quantitative analyst in a product, marketplace or performance marketing business
- Applied statistics: experiment design, power analysis, confidence intervals, and the discipline to report a null result as clearly as a positive one
- Causal inference beyond A/B testing: difference in differences, matchi

📌 Senior Data Scientist EU (Barcelona)
🏢 Tyrads
📍 Barcelona