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Sr. Data Scientist

On-site
LindySan Francisco, CA, US1 year agoWebsite
Fresh
Full-time
Senior
Engineering

Compensation

Salary undisclosed
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Description

Who We are


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.

The role


  • 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


Who you are:


  • 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

Stack

Data ScienceSnowflakeData Engineering
Posted
Apr 16, 2025
Last seen
Jun 30, 2026
First seen
Jun 29, 2026

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