Data Scientist - Experimentation & Measurement
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Die Stelle
Design, execute, and analyze experiments (A/B tests) to inform product decisions and measure impact.
Define metrics, validate data, and interpret results within a robust statistical framework.
Contribute to causal analyses where full randomization is not feasible, using pre/post, matched cohorts, or difference-in-differences under guidance.
Conduct exploratory econometric analyses to uncover drivers of user behavior and business outcomes.
Collaborate with engineering, analytics, and product teams to ensure correct experiment setup, clean data capture, and ongoing monitoring of live experiments.
Produce clear outputs, visualizations, and stakeholder-ready readouts, and help standardize experimentation tooling while growing expertise in causal inference.
Define metrics, validate data, and interpret results within a robust statistical framework.
Contribute to causal analyses where full randomization is not feasible, using pre/post, matched cohorts, or difference-in-differences under guidance.
Conduct exploratory econometric analyses to uncover drivers of user behavior and business outcomes.
Collaborate with engineering, analytics, and product teams to ensure correct experiment setup, clean data capture, and ongoing monitoring of live experiments.
Produce clear outputs, visualizations, and stakeholder-ready readouts, and help standardize experimentation tooling while growing expertise in causal inference.
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