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As a Data Scientist at Lyft, you will analyze data to enhance products and decision-making in ride-sharing. This includes statistical modeling, designing experiments, partnering with teams, and proposing technical solutions to improve rider and driver experiences.
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Lead and execute a full-funnel demand generation strategy for B2B segments, managing a team and collaborating to drive measurable pipeline impact.
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The Data Engineer will manage data pipelines, ensure data quality, collaborate on data models, and optimize processing performance using SQL and Python.
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