AI Data Scientist

Location: San Francisco, United States

Salary: $175,000–$330,000 USD annually, plus equity; the listed USD range applies to U.S.-based positions.

Company

Perplexity builds AI products and applies AI throughout its data organization.

What you will do

• Build AI agents that form hypotheses, write and run queries, interpret results, and generate actionable recommendations with evaluation and human-review loops.
• Develop retrieval infrastructure and evaluation systems that allow AI agents to query the data warehouse using semantic context and metadata reliably.
• Turn AI-assisted data workflows into reusable systems, internal tools, and self-serve data products.
• Automate data lifecycle tasks, including self-healing pipelines, dbt model generation and validation, data quality detection, and diagnosis workflows.
• Build AI-powered experiment analysis for interpreting A/B tests, identifying statistical issues and likely drivers, and drafting ship/no-ship recommendations.
• Own the full lifecycle from problem discovery and LLM prototyping through UX design, production delivery, and quality monitoring.

Requirements

• 6+ years of experience in data science, analytics engineering, data engineering, or a related role.
• Deep SQL skills and strong judgment across metrics, experiments, data models, and complex warehouse data.
• Strong product sense, including understanding stakeholder needs and turning prototypes into adoptable products.
• Hands-on experience with frontier models, AI agents, RAG systems, evaluations, or AI-powered workflows.
• Experience with dbt, warehouse schemas, data quality issues, and durable data-system tradeoffs.
• Builder mentality: ability to systematize manual processes, ship quickly, measure quality, and iterate.
• Ability to work autonomously and help define the roadmap for a new function.

Nice to have

• Experience building production AI agents or agent evaluation systems.
• Experience with Snowflake, semantic layers, or metadata systems.
• Experience building adopted internal tools, Slack bots, CLIs, or developer productivity products.
• Strong experimentation background, including metric design and statistical interpretation.
• Experience with BI tools and judgment about what should be automated versus human-reviewed.
• Early-stage startup experience.

Culture & Benefits

• Work with frontier AI models and infrastructure at an AI company.
• Build systems intended to multiply the output of data team members and data stakeholders.
• Work in a small team with few approval layers and a short path from idea to shipped system.
• U.S. full-time employees receive equity, health, dental, vision, retirement, fitness, commuter, and dependent-care benefits.
• Full-time employees outside the U.S. receive benefits tailored to their region of residence.