Data Scientist, Marketing

Summary

Join a dynamic team at Airtable as a Data Scientist, where you'll play a crucial role in shaping the future of the company by transforming data into critical self-serve data artifacts that power impactful analytical use cases and empower data consumers.

Requirements

• 5+ years previous experience as a data scientist, data analyst, or data engineer
• Experience writing and optimizing complex SQL queries for large data sets and are familiar with a scientific programming language, such as R or Python
• Deep familiarity with dimensional modeling/data warehousing concepts
• Ability to translate raw data into meaningful business insights
• Excellent storyteller and able to communicate findings with clarity and precision, whether through writing or visualizations
• Strong knowledge of statistics and experimental design
• Natural curiosity and strive to uncover deeper relationships that are not always immediately discoverable
• Experienced with building and maintaining data modeling layers (e.g., DBT & Looker)
• Proficiency in data visualization and adept at tailoring presentations to executives, managers, and individual contributors within the organization

Responsibilities

• Partner with Marketing, Sales & Product Development teams to help drive insights, identify opportunities, and understand behavior and long-term trends
• Understand where various opportunities fit into the broader strategy and prioritize competing demands to ensure the most impactful items are delivered
• Take a leading role in producing new datasets, developing high-impact data models, and tools to enable self-service analytics
• Develop and own critical reporting and dashboards that provide transparency into the business
• Manage the design and analysis of experiments; develop and socialize a rigorous culture of experimentation throughout the entire company
• Play a foundational role in building a data culture at Airtable through reproducible work, improved processes, and better tooling
• Define and monitor key metrics through consistent tracking, KPI’s, and dashboards
• Gather feedback and input on self-service implementations from Marketing stakeholders and peers and create a cycle of continuous improvement