Senior Data Scientist - Experimentation

What you'll do

• Design, develop, and maintain scalable experimentation tools and reliable data pipelines, including quality checks and monitoring.
• Conduct end-to-end analyses and design experiments or causal studies to estimate intervention impacts.
• Advise cross-functional stakeholders on statistical methods, experiment design, and data engineering; mentor junior team members.

What they ask for

• 5+ years of experience in software and data science or statistics, with in-depth understanding of SQL and causal inference.
• Experience with A/B testing infrastructure and methodologies and randomized control trial assumptions.
• Proficiency in SQL and Pyspark or Scala for analysis and data products.
• Experience with causal techniques such as regression, propensity score matching, Diff in Diff, regression discontinuity, and instrumental variables.

Nice to have

• Advanced Degree in Computer Science, Statistics, Applied Math or related field.
• 6+ years of industry experience building scalable applications; industry experience in SDLC and marketplace experimentation are also noted as preferred or bonus.

Pay

$184,700 and $277,600 (USD, base salary; range)

Tools

SQL, Python, Pyspark, Scala

AI focus

Familiarity with causal machine learning tools and technologies; apply causal methods to estimate treatment effects and intervention impact.