Careers
Senior Data Scientist
We’re looking for a data scientist who sees patterns where others see noise. You’ll lead the charge on turning raw data into clear answers, shaping how top brands are seen, cited, and chosen in the AI era.
Hybrid
Full-Time
Role Overview
At Limy, data isn't just for reporting. It's how we learn, adapt, and grow. You’ll help us understand how brands show up in AI search engines, how users interact with our platform, and where the next big opportunities live. You’ll partner closely with product, growth, and leadership to drive smarter decisions across the business.
Responsibilities
Analyze product usage, performance trends, and customer behavior across the platform
Build dashboards and reporting systems that bring clarity to teams across the company
Define KPIs and success metrics that align with product and GTM goals
Identify opportunities, uncover bottlenecks, and recommend what to build next
Work with engineering to ensure clean data pipelines and trustworthy metrics
Required Qualifications
4 to 6 years of experience in data analytics, preferably at a SaaS or AI-first company
Proficiency in SQL, Excel, and BI tools like Looker, Tableau, or Mode
Strong analytical thinking and the ability to explain insights in plain language
A strategic mindset — you ask the right questions and push for clarity
Comfortable working across functions and turning messy data into real answers
Bonus
Have experience analyzing LLM output, retrieval patterns, or AI product usage
Have worked with product-led teams and helped shape roadmap through data
Know how to model user funnels, conversion paths, or retention patterns
Role Overview
At Limy, data isn't just for reporting. It's how we learn, adapt, and grow. You’ll help us understand how brands show up in AI search engines, how users interact with our platform, and where the next big opportunities live. You’ll partner closely with product, growth, and leadership to drive smarter decisions across the business.
Responsibilities
Analyze product usage, performance trends, and customer behavior across the platform
Build dashboards and reporting systems that bring clarity to teams across the company
Define KPIs and success metrics that align with product and GTM goals
Identify opportunities, uncover bottlenecks, and recommend what to build next
Work with engineering to ensure clean data pipelines and trustworthy metrics
Required Qualifications
4 to 6 years of experience in data analytics, preferably at a SaaS or AI-first company
Proficiency in SQL, Excel, and BI tools like Looker, Tableau, or Mode
Strong analytical thinking and the ability to explain insights in plain language
A strategic mindset — you ask the right questions and push for clarity
Comfortable working across functions and turning messy data into real answers
Bonus
Have experience analyzing LLM output, retrieval patterns, or AI product usage
Have worked with product-led teams and helped shape roadmap through data
Know how to model user funnels, conversion paths, or retention patterns