A
17 days ago
Boston, Massachusetts, United States
PythonPostgreSQLAWSAzure
K
Pay vs market · Near median
This job's pay ($215,000 a year at the midpoint) is higher than about 45% of 144 salary-listed Data Scientist jobs in United States in the last 12 months; their median is $221,940.
Role overview
Job description
At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. Lead Product Data Scientist, Agents About the Team Klaviyo's Product Data Science team plays a critical role in shaping how we understand, measure, and improve product and business performance. We partner closely with Product, Engineering, Finance, and Go-to-Market teams to turn complex data into actionable insights that inform product strategy, customer experience, an
…About this listing
- Source: Klaviyo's official careers site (via Greenhouse) · last confirmed on the source 31 Oct 2026
- Posted 30 Oct 2026
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What they are looking for
Skills & requirements
pythonsqlmachine learningaifinanceCRM
Qualification
Build scalable agent evaluation frameworks by combining conversation data, agent traces, tool-call outcomes, human evaluation, and LLM-based classification to assess quality, identify failure patterns, and understand how changes to models and agent behavior influence product performance; Who You Are You have 10+ years of experience in data science, product analytics, applied statistics, or a related quantitative discipline, including recent hands-on experience measuring AI, machine learning, or LLM-powered products in production; You have experience evaluating AI systems in production, including designing evaluation frameworks, analyzing agent interactions or conversations, leveraging human labeling or LLM-as-judge methodologies, and understanding how model, prompt, and tool changes influence product outcomes; You have a degree in Statistics, Mathematics, Computer Science, Economics, Finance, Engineering, or another quantitative discipline, or an MBA with a quantitative emphasis
Department · Product
Hiring company
Klaviyo
Want to learn more about life at Klaviyo? Visit careers.klaviyo.com to see how we empower creators to own their own destiny.
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