[Hiring] Senior Data Scientist @TyrAds

Role Description

We are hiring a Senior Data Scientist to work alongside our Product team 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.

Qualifications

• 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, matching, holdouts, incrementality.

Requirements

• Advanced SQL on large event tables (CTEs, window functions).
• Python for modelling and analysis (pandas, numpy, scikit-learn).
• Comfortable with the defects of real event data: duplicates, late arrivals, rejected installs, inconsistent partner data.
• Can explain a model to a commercial stakeholder without simplifying it into something that is no longer true.
• Works well alongside a Head of Product and a COO who are both hands-on in the same problems.

Nice to Have

• Mobile advertising, user acquisition, offerwall or rewarded advertising.
• MMP data (AppsFlyer, Adjust) and the limits of multi-touch attribution.
• Pricing, incentive or elasticity modelling in a commercial setting.
• Databricks or Spark.
• Fraud and anomaly detection.