March 18
🏢 In-office - San Francisco
• Apply expertise in statistical inference and data mining to understand user interactions • Dive into ambiguous areas and define problems for influential projects • Design experiments to evaluate success of new features • Partner with product, engineering, and marketing to drive data science work • Determine metrics and maintain dashboards for monitoring progress • Influence product roadmap through effective communication of findings
• Meaningful experience as a data scientist with product and engineering teams • Expertise in SQL and at least one scripting language (ideally Python or R) • Proficient in statistical inference and experimentation • Experience building predictive models and evaluating their effectiveness • Ability to transform raw data to build data sets • Bias for using the right tools with maximum efficiency
• Highly competitive cash compensation • Equity • Benefits
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