Data Scientist - Growth

at Perplexity AI
📍 San Francisco, United States
USD 200,000-250,000 per year
MIDDLE
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

SEO @ 3 Marketing @ 3 Python @ 3 SQL @ 5 Looker @ 5 dbt @ 3 Airflow @ 3 Machine Learning @ 3 Data Science @ 3 Data Analysis @ 3 Experimentation @ 3 BI @ 5 Snowflake @ 3

Details

Perplexity is an AI-powered answer engine founded in December 2022. The company has raised significant venture investment and serves hundreds of millions of queries monthly. The Data Scientist - Growth will accelerate growth initiatives and work cross-functionally with Growth, Marketing, Product, Enterprise, and Partnerships to optimize paid acquisition, organic growth, retention, monetization, and partnerships.

Responsibilities

  • Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across 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 user experiences.
  • Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization; create 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 campaign performance to identify optimization opportunities and budget allocation strategies.
  • Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness.

Requirements

  • 6-8+ years of experience as a data scientist or in a related role with a growth focus.
  • Experience with growth disciplines including paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization.
  • Proficient in SQL and experienced with BI and visualization tools (examples given: Omni, Mode, Hex, Looker).
  • Experience designing, implementing, and analyzing A/B tests and statistical experimentation.
  • Self-starter who takes ownership and thrives on open-ended problems and cross-functional collaboration.
  • Experience with data modeling and pipeline development (examples given: 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 analytics/engineering practices.
  • Experience with Snowflake and modern data stack tools.
  • Comfortable using Python for data analysis and automation.
  • Machine learning experience, particularly for growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems).
  • Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks.

Compensation & Benefits

  • Cash compensation range: $200,000 - $250,000 per year.
  • Final offer amounts determined by factors including experience and expertise; equity may be part of total compensation.
  • Benefits include comprehensive health, dental, and vision insurance, and a 401(k) plan.