We're on a mission to free humanity from work.
This may seem crazy, but humanity was already (mostly) freed from hard, menial work — we’re just finishing the job and using AI agents to get us rid of knowledge work.
Our job 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.
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.