Data Scientist - Growth Marketing

at Perplexity AI
📍 San Francisco, United States
USD 200,000-270,000 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 Engineering @ 3 Data Analysis @ 3 BI @ 5 Snowflake @ 3

Details

Perplexity is an AI-powered answer engine founded in December 2022 and growing rapidly as one of the world’s leading AI platforms. Perplexity has raised over $1B in venture investment from leaders including Elad Gil, Daniel Gross, Jeff Bezos, Accel, IVP, NEA, NVIDIA, Samsung, and many more. The company’s objective is to build accurate, trustworthy AI that powers decision-making and assistive AI wherever decisions are being made. Perplexity answers hundreds of millions of queries every month and is expanding its global reach.

This role is an experienced Data Scientist position focused on accelerating growth marketing efforts. You will work closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and optimize marketing strategies across paid acquisition, social media, brand initiatives, promotional campaigns, and consumer partnerships.

Responsibilities

  • Collaborate closely with Growth, Marketing, Product Marketing, and Enterprise Growth teams to provide data-driven insights and recommendations.
  • Analyze paid acquisition channels and campaign performance, identifying opportunities for optimization and growth.
  • Conduct analysis on social media performance and marketing spend to maximize reach, engagement, and effectiveness.
  • Lead lightweight user research and apply insights to refine market targeting and user segmentation strategies.
  • Design, implement, and interpret A/B tests to continuously enhance marketing performance and effectiveness.
  • Define, implement, and visualize key marketing metrics; create dashboards to track and communicate marketing effectiveness and ROI.
  • Develop data models and pipelines to improve analytics efficiency and data accessibility.

Requirements

  • 4+ years of experience working as a data scientist or in a related role.
  • Experience with product marketing, paid acquisition, SEO, social, and/or lifecycle marketing.
  • Proficient in SQL and experienced with BI and visualization tools (examples listed: Omni, Mode, Hex, Looker).
  • Experience designing, implementing, and analyzing A/B tests.
  • Ownership mindset and ability to thrive on open-ended problems; self-starter.
  • Experience with data modeling and orchestration (examples listed: dbt, Airflow).

Preferred Qualifications

  • Previous experience at a high-growth startup or early-stage growth/marketing data science role.
  • Hands-on experience with dbt and data engineering / analytics engineering.
  • Experience with Snowflake.
  • Comfortable using Python for data analysis.
  • Machine learning experience.

Compensation

  • Cash compensation range: $200,000 - $270,000 (final offer amounts are determined by multiple factors such as experience and expertise and may vary).
  • Equity may be part of the total compensation package.

Benefits

  • Comprehensive health, dental, and vision insurance for you and your dependents.
  • Includes a 401(k) plan.