About Lindy

We're on a mission to free humanity from work.

As crazy as it sounds, humanity has already free itself once — from hard, menial work. We’re just finishing the job, and using AI agents to get us rid of knowledge work.

Our goal is to build "AI employees" which can collaborate with humans and other AI employees alike, over all channels (email, Slack, Zoom, etc), pursue ambiguous goals in changing contexts, and continuously learn from their experience.

Job Description

As Lindy's first Data Scientist, you'll work closely with senior leadership (e.g. Lindy's CEO, GTM leads, and head of engineering) to uncover critical business insights from many sources of in-the-wild data (product analytics, BI/revenue information, customer reports, etc.). You'll be responsible for the end-to-end cycle of data - working closely with product and engineering to define important analytics to capture in new features, combining that data into actionable insights, and communicating and disseminating those insights to leadership and across the company.

In addition, as you're the first full time hire for this position, you'll also be in the driver's seat designing and setting up Lindy's first ETL pipelines and fundamental data engineering infrastructure. You'll be collaborating closely with Lindy's head of engineering in this capacity.

At Lindy, you can expect an environment with little process and high empowerment, paired with high expectations and a strong sense of urgency.

We are an in-office company, working from our San Francisco office 4 days a week. We do sponsor visas and cover relocation fees for up to $20,000.

Key Responsibilities

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