What It's Like to Be a Data Scientist at Airtable
As a Data Scientist at Airtable, you will be working on a variety of interesting problems, from building machine learning models to designing experiments. You will be part of a small but growing team of data scientists who are responsible for helping the company make better decisions. The data science team at Airtable is known for its focus on impact and its ability to ship quickly.
The ideal candidate for this role will have a strong background in statistics and machine learning, as well as experience with a variety of data science tools and technologies. You should be able to think critically about data and to communicate your findings effectively to a variety of stakeholders.
Salary & Compensation
Salary for a Data Scientist at Airtable is competitive and varies by level. The following table provides a general idea of what you can expect:
| Level | Base Salary | Total Comp (incl. equity) |
|---|---|---|
| Entry (IC3) | $150K-$200K | $200K-$300K |
| Mid (IC4) | $180K-$250K | $275K-$315K |
| Senior (IC5) | $220K-$300K | $300K-$400K |
Interview Process
The interview process at Airtable typically consists of 4-5 rounds:
- Recruiter Screen - A brief chat with a recruiter to discuss your background and interest in the role.
- Hiring Manager Screen - A 1-hour interview with the hiring manager to discuss your data science experience and skills.
- Onsite/Virtual Loop - A series of 4-5 interviews with members of the team, including a mix of data science, machine learning, and behavioral questions.
- Hiring Committee - A final review of your application by a committee of senior data scientists and managers.
How to Stand Out
- Demonstrate your passion for data. Airtable is a very data-driven company, so it's important to show that you are passionate about data and its ability to drive better decisions.
- Show your passion for the product. Use Airtable to build something cool and share it with your interviewers.
- Highlight your experience with their tech stack. If you have experience with Python, R, or SQL, be sure to mention it.
- Be prepared to talk about your past projects in detail. Airtable data scientists are expected to have a deep understanding of the projects they've worked on.