What It's Like to Be a Data Scientist at Retool
At Retool, Data Scientists are at the forefront of driving the company's growth and product strategy. The Data Science & Analytics team is a centralized function that partners with various teams across the company, including Product, Engineering, and Go-to-Market (GTM). This cross-functional collaboration allows Data Scientists to have a significant impact on the company's direction and success. The team is not just focused on reporting metrics but on understanding the 'why' behind the data, uncovering insights that shape Retool's future.
The day-to-day of a Data Scientist at Retool is dynamic and challenging. You'll be working on a wide range of projects, from analyzing customer behavior and product usage to building models that influence strategy and prioritization. The tech stack at Retool is modern and robust, giving you the tools you need to succeed. You'll be working with SQL, Python, and a variety of data warehousing and analytics tools like Snowflake, dbt, and Amplitude. Retool's own product is also a key part of the data team's workflow, enabling them to build data apps and dashboards to empower teams to self-serve on foundational analytics.
Retool's engineering culture is one of high-impact and ownership. Data Scientists are expected to be proactive, comfortable with ambiguity, and able to own problems end-to-end. The company values moving quickly and making data-informed decisions. You'll have the opportunity to work on projects that have a direct impact on the business and see your work come to life in the product.
Salary & Compensation
Retool offers competitive compensation packages for its Data Scientists. The base salary for a Data Scientist at Retool ranges from $182,800 to $250,000 per year. In addition to the base salary, Retool offers equity and a comprehensive benefits package.
| Level | Base Salary | Total Comp (incl. equity) |
|---|---|---|
| Entry (L1-L2) | $130K-$160K | $180K-$230K |
| Mid (L3-L4) | $160K-$200K | $230K-$300K |
| Senior (L5+) | $200K-$250K+ | $300K-$400K+ |
Interview Process
The interview process for a Data Scientist at Retool typically consists of 4-5 rounds:
- Recruiter Screen: An initial conversation with a recruiter to discuss your background, experience, and interest in the role.
- Technical Phone Screen: A technical interview with a Data Scientist to assess your SQL and data analysis skills.
- Onsite/Virtual Loop: A series of interviews with members of the Data Science & Analytics team and cross-functional partners. This may include a take-home assignment or a case study presentation.
- Hiring Committee: A final review of your application and interview performance by a committee of senior leaders.
How to Stand Out
- Demonstrate your product sense: Show that you can think critically about the product and how data can be used to improve it.
- Highlight your SQL and data modeling skills: Retool is a data-driven company, so strong technical skills are a must.
- Show your passion for internal tools: Retool's mission is to bring good software to everyone, so it's important to be passionate about building tools that make people's lives easier.
- Be a strong communicator: You'll be working with a variety of stakeholders, so it's important to be able to communicate your findings clearly and concisely.
- Be prepared to talk about your past projects: Come prepared to discuss your past work and how it has had an impact on the business.