Data Scientist, GTM Analytics

Overview

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Our data team’s mission is to fuel Airtable’s growth and operations. We are a strategic enabler, by building high-quality and customer-centric data products and solutions.

We are looking for a Data Scientist to work directly with Airtable’s business stakeholders. Your data product will be instrumental in accelerating the efficiency of Customer Engagement (CE) organizations including sales, CSG and revenue operations teams. This role offers the opportunity to significantly impact Airtable's strategy and go-to-market execution, providing you with a platform to deploy your data skills in a way that directly contributes to our company’s growth and success.

• Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices.
• Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc..
• Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a compelling narrative of the data. Tackle ambiguous problems to uncover business value with minimal oversight.
• Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable CE team roles efficiently with the data products.
• Strong Communication
  
  Skills:
  
  Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization.

• Education: Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS); MS/MBA preferred.
• Industry
  
  Experience:
  
  4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders.
• Business Acumen: Demonstrated understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR).
• CRM
  
  Experience:
  
  Familiar with CRM platforms (i.e., Salesforce).
• Technical Proficiency: 6+ years of SQL in modern data platforms (Databricks, Snowflake, Redshift, Big Query); 6+ years of Python or R; 6+ years of BI tool experience (Looker, Tableau, etc.); proficient in building automated data collection/transform pipelines (dbt, Fivetran).
• Data Science
  
  Skills:
  
  Proficient knowledge of models (regression, classification, clustering, time series, experiment design); hands-on experience with batch LLM pipelines preferred.
• Communication & Adaptability: Excellent ability to present findings to technical and non-technical audiences; thrives in a dynamic environment and is flexible to contribute as needed.

Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances.

Learn more about your EEO rights as an applicant.

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