![]() ![]() You have experience writing and optimizing complex SQL queries for large data sets and are familiar with a scientific programming language, such as R or Python.You possess a natural curiosity and strive to uncover the deeper relationships that are not always immediately discoverable.You have strong knowledge of statistics and experimental design.You have the ability to translate raw data into meaningful business insights and be able to tell a story with data.You have 3+ years previous experience as a data scientist, data analyst, or data engineer, preferably within a Growth org.Collaborate with data and engineering teams to design scalable and future-proof instrumentation.Proactively socialize insights, dashboards, and reports with technical and non-technical audiences.Define and monitor key metrics through consistent tracking, KPI’s, and dashboards.Analyze and design experiments, and help develop and socialize a rigorous culture of experimentation throughout the company.Perform deep dive analysis to understand and optimize the key levers for growth.Define, understand, and test opportunities and levers for growth, and drive roadmaps through your insights and recommendations.Partner with product, engineering, and design teams to help drive insights, identify opportunities, and understand user behavior and long-term trends.You’ll work cross-functionally to identify and answer our most important questions, transforming raw data into understandable and actionable insights. As one of the early members of the Data Science team, you will play a crucial role in shaping the future of Airtable by deepening our understanding of how people use the open-ended toolkit that Airtable offers. Our accelerating growth, coupled with our ambitious product surface area, brings many challenges. Airtable's unique approach to enabling end-user software creation has struck a chord with users across many industries and use cases.
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