Sr Data Scientist
Lindy
Data Science
Posted on Mar 23, 2025
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Sr Data Scientist
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
End-to-end ownership of Lindy's analytics and BI collection, processing, and reporting
Collaborate closely with the founder/CEO, PMs, end engineering team to understand customer behavior and business health based on data, and come up with and help execute data-drive ideas to improve key business metrics
Help implement Lindy's nascent ETL / data engineering capabilities with an eye towards pragmatism and urgency
Must haves
3+ years of data science experience
Ability to work independently with little supervision and strong sense of impact
Strong communication and collaboration skills
Ability to work in person 4 days a week from a San Francisco office
Nice to have
Prior experience with Lindy's analytics and BI tools
Snowflake
Fivetran
Posthog
Benefits
Competitive salary and generous equity
Health coverage
A lot of autonomy within your area of responsibility
The fun of working at a no-nonsense startup that just wants to build an amazing product and business