Perplexity is looking to accelerate its growth initiatives and expand its reach globally by leveraging data-driven insights to optimize strategies across various functions.
Requirements
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.
Have experience with data modeling and pipeline development (e.g., dbt, Airflow).
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.
Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth.
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.
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.
Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies.
Other
Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives.
Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization.
Take ownership and are a self-starter who thrives with open-ended problems and cross-functional collaboration.
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.
