Senior Data Scientist – Reward Economy & Experimentation(EU)

Tyrads LTD; Barcelona; On-site; EUR 90,000 - 130,000; Full time

Job summary

TyrAds seeks a Senior Data Scientist to join our product team and turn reward economy data into actionable insights. You will define models, run experiments, and measure impact on campaigns and margins, collaborating with Product and COO to scale our AdTech platform.

This role focuses on reward economy modelling, experimentation, and causal inference, translating complex methods into practical guidance for AdOps and Sales.

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 reporting null results clearly.
• Causal inference beyond A/B testing: diff-in-differences, matching, holdouts, incrementality.
• Advanced SQL on large event tables (CTEs, window functions).
• Python for modelling and analysis (pandas, numpy, scikit-learn).
• Experience with real event data quality: duplicates, late arrivals, data gaps.

Responsibilities

• Model payout against funnel progression, event design against completion, and user quality against advertiser return.
• Produce elasticity estimates that can configure a campaign, not only describe one.
• Size the opportunity in revenue or margin before the work starts.
• Design controlled experiments with randomisation, power analysis, and primary/guardrail metrics.
• Write a decision record for every experiment and share findings with teams.
• Translate complex methods into practical guidance for AdOps and Sales.

Skills

Data science

Statistics

Experiment design

Causal inference

SQL

Python

Data quality

Tools

Databricks

Spark

AppsFlyer

Adjust

Job description

TyrAds seeks a Senior Data Scientist to join our product team and turn reward economy data into actionable insights. You will define models, run experiments, and measure impact on campaigns and margins, collaborating with Product and COO to scale our AdTech platform.

This role focuses on reward economy modelling, experimentation, and causal inference, translating complex methods into practical guidance for AdOps and Sales.