In this role, you will play a key part in defining the data culture within Modal and ensure that we have principled, data-driven decision-making processes. As part of the early data team, you will work on numerous zero-to-one projects and will have a direct impact on our product direction. You’ll have the opportunity to work alongside our product and engineering teams on high-profile feature launches that are used by consumers and brands every day.
Who You Are
You are curious, inquisitive, and enjoy solving ambiguous, open-ended problems. You are able to identify high-impact problem areas with little direction. You have a healthy skepticism about data and know when to dig deeper into a problem.
You have the technical skills to work independently. You are comfortable with advanced modeling and statistical techniques and are highly fluent in SQL and Python. You have deep experience with experiment design and analysis.
You are a strong communicator and are able to explain complex concepts to a wide audience. You are adept at crafting clear and impactful data visualizations.
You are meticulous and forthright. You are experienced with finding clear answers despite messy data sets and are able to catch data issues as they arise.
Ideally, you have experience as a data scientist at a fast-growing company and have a proven record of impact.
What You Will Do
There are numerous complex product questions that we would look to a data partner to help the team untangle. On a given day, you may be performing and sharing complex analyses that inform a wide variety of decisions. Or you may be playing a hands-on role in product launches, ensuring that we understand the impact of new features on users and can identify potential issues early in the process. You will have the opportunity to do foundational analysis on important, unsolved questions across a wide range of problem spaces.
As an early team member at Modal you will be a critical voice and have significant influence over the direction of the company. We will compensate you well, invest deeply in your development, and ensure this is the single best work experience of your life. If you think you might be a good fit for our team, we’d love to hear from you.