Data Scientist, Product
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Die Stelle
Line 1: As a data scientist focusing on product analytics, you will own end-to-end measurement by defining north-star metrics and guiding product decisions with rigorous experiments.
Line 2: You will partner with Product, Design, and Engineering to improve instrumentation, data quality, and the visibility of impact across activation, engagement, retention, and revenue.
Line 3: Responsibilities include leading exploratory analysis, designing A/B tests with clear success criteria, power analyses, and post-experiment readouts.
Line 4: Develop and maintain analytical models and reproducible pipelines supporting full funnel analytics and large datasets.
Line 5: Create executive-ready dashboards and visuals to align stakeholders and translate insights into action.
Line 6: Embed with cross-functional teams to ensure data-informed decisions throughout the product lifecycle and stay current on industry trends.
Line 2: You will partner with Product, Design, and Engineering to improve instrumentation, data quality, and the visibility of impact across activation, engagement, retention, and revenue.
Line 3: Responsibilities include leading exploratory analysis, designing A/B tests with clear success criteria, power analyses, and post-experiment readouts.
Line 4: Develop and maintain analytical models and reproducible pipelines supporting full funnel analytics and large datasets.
Line 5: Create executive-ready dashboards and visuals to align stakeholders and translate insights into action.
Line 6: Embed with cross-functional teams to ensure data-informed decisions throughout the product lifecycle and stay current on industry trends.
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