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Data Scientist - Growth Marketing
San Francisco
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 some of the world’s most visionary and successful leaders, including Elad Gill, 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 month–a number that’s growing rapidly for one simple reason: everyone can be curious.
We are hiring for an experienced Data Scientist to accelerate our growth marketing efforts and help Perplexity expend its reach globally. You’ll work closely with our Growth, Marketing, Product, Enterprise and Partnership functions, using data-driven insights to optimize marketing strategies across paid acquisition, social media, brand initiatives, promotional campaigns, and consumer partnerships.
This role offers the chance to significantly influence how our marketing strategies evolve and scale in a dynamic startup environment.
Responsibilities
- Collaborate closely with Growth, Marketing, Product Marketing, and Enterprise Growth teams to provide data-driven insights and recommendations
- Analyze paid acquisition channels and campaigns 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, creating dashboards to track and communicate marketing effectiveness and ROI
- Develop data models and pipelines to improve analytics efficiency and data accessibility
Qualifications
- Have 4+ years of experience working as a data scientist or related role
- Have experience with the following areas: product marketing, paid acquisition, SEO, social and/or lifecycle marketing
- 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
- Take ownership and are a self-started who thrives with open-ended problems
- Have experience with data modeling (e.g., 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 with Python for data analysis
- Machine learning experience
The cash compensation range for this role is $200,000 - $270,000
Final offer amounts are determined by multiple factors, including, experience and expertise, and may vary from the amounts listed above.
Equity: In addition to the base salary, 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.
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