Product Data Scientist - AI-Driven Insights

Perplexity

San Francisco (CA)

On-site

USD 175,000 - 330,000

Full time

14 days+
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Job summary

Perplexity is AI for people who expect more. This role turns product questions into clear decisions. You’ll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify high-leverage opportunities for the company.

The data team is AI-native by default. We use AI to accelerate analysis, write and review code, explore hypotheses, document data, generate first drafts, and automate recurring workflows.

Qualifications

  • 6+ years of experience as a data scientist or closely related role.
  • Strong product sense and an ability to connect analysis to decisions.
  • SQL expertise for complex data warehouse work.
  • Significant experience designing, running, and analyzing A/B tests.
  • AI-native working style using LLMs and AI tools.
  • Experience turning metrics into product decisions.

Responsibilities

  • Develop product insights to inform roadmap, adoption, and UX improvements.
  • Design and analyze experiments, define success metrics, run A/B tests, interpret results, and recommend actions.
  • Define the metrics that matter and build dashboards, guardrails, and reporting workflows.

Skills

6+ years data science experience
Strong product sense
SQL expertise
Experimentation & A/B testing
AI-native working style
Metrics & dashboards
Ambiguity tolerance & ownership

Tools

dbt
Snowflake
Looker
Mode
Hex

Job description

Perplexity is AI for people who expect more. This role turns product questions into clear decisions. You’ll work across product, engineering, growth, design, and user research to understand user behavior, define metrics, design experiments, and identify high-leverage opportunities for the company.

The data team is AI-native by default. We use AI to accelerate analysis, write and review code, explore hypotheses, document data, generate first drafts, and automate recurring workflows.

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