Data Scientist - Growth Marketing - SF

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-starter 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 - $250,000.

Equity: In addition to the base salary, equity is 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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