Job Description

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the worlds leading AI platforms. Perplexity has raised over $1B in venture investment from some of the worlds most visionary and successful leaders, including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. Our objective is to build accurate, trustworthy AI that powers decision-making for people and assistive AI wherever decisions are being made. Throughout human history, change and innovation have always been driven by curious people. Today, curious people use Perplexity to answer more than 780 million queries every montha number thats growing rapidly for one simple reason: everyone can be curious.

We are hiring for an experienced Data Scientist to accelerate our growth initiatives and help Perplexity expand its reach globally. You'll work closely with our Growth, Marketing, Product, Enterprise, and Partnership functions, using data-driven insights to optimize strategies across paid acquisition, organic growth, product development, retention, monetization, and strategic partnerships.

This role offers the chance to significantly influence how our growth strategies evolve and scale in a dynamic startup environment.

Responsibilities

• Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives.
• Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth.
• Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization.
• Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences.
• Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI.
• Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making.
• Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies.
• Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth.
• Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness.

Qualifications

• Have 6-8+ years of experience working as a data scientist or related role with growth focus.
• Have experience with growth disciplines including: paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization.
• Are proficient in SQL and experienced with BI and visualization tools (e.g., Omni, Mode, Hex, Looker).
• Have experience designing, implementing, and analyzing A/B tests and statistical experimentation.
• Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration.
• Have experience with data modeling and pipeline development (e.g., dbt, Airflow).

Preferred Qualifications

• Previous experience at a high-growth startup or early-stage company in a growth-focused data science role.
• Hands-on experience with dbt and data engineering/analytics engineering.
• Experience with Snowflake and modern data stack tools.
• Are comfortable with Python for data analysis and automation.
• Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems).
• Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks.

The cash compensation range for this role is $200,000 - $250,000

Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.

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