Senior Data Scientist - Experimentation

📋 Description

• Lead design, execution and interpretation of experiments to guide product strategy.
• Apply advanced causal inference to estimate long-term and heterogeneous effects.
• Draw reliable conclusions in settings with selection bias or imperfect randomisation.
• Identify core drivers of experiment performance across users, markets and time.
• Translate insights from experiments into future decision-making with stakeholders.

🎯 Requirements

• Strong experience designing, running and interpreting A/B experiments in production.
• Solid understanding of causal inference concepts.
• Ability to apply statistical thinking to messy real-world product problems.
• Excellent communication skills with technical and non-technical audiences.
• Familiarity with SQL.
• Collaborate with stakeholders to translate business needs into data science problems.

🎁 Benefits

• Solve meaningful problems at real scale in a complex marketplace.
• See impact fast by shipping, testing and improving ideas.
• Grow through challenge and ownership with strong support.
• Culture built for builders with flexibility and continuous learning.
• Competitive salary and equity options.