Data Scientist - Growth at Perplexity AI

Candidates should have 6-8+ years of experience as a data scientist with a growth focus, including experience in paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and conversion optimization. Proficiency in SQL and BI/visualization tools like Omni, Mode, Hex, or Looker is required, along with experience in designing, implementing, and analyzing A/B tests and statistical experiments. Experience with data modeling and pipeline development using tools like dbt or Airflow is also necessary. Preferred qualifications include experience at a high-growth startup, hands-on dbt and data engineering experience, familiarity with Snowflake and modern data stack tools, Python for data analysis, and machine learning experience in growth applications such as LTV prediction, churn modeling, attribution modeling, and recommendation systems.