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

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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)
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

Benefits

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

Responsibilities

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
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

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