Data Scientist - Growth

About the Role

Key Responsibilities

• Collaborate closely with Growth, Marketing, Product, Enterprise, and Partnership teams to provide data-driven insights and recommendations across all growth initiatives.
• Perform deep-dive analyses on user behavior, conversion funnels, and retention patterns to drive both paid and organic growth.
• Lead user research and segmentation analysis to inform growth strategies, market targeting, product development, and paid campaign optimization.
• Design, implement, and interpret A/B tests to continuously enhance marketing performance, product features, and overall user experiences.
• Define, implement, and visualize key growth metrics across paid acquisition, organic channels, activation, retention, and monetization, creating dashboards to track business performance and marketing ROI.
• Develop data models and pipelines to improve analytics efficiency, enable self-service analytics, and support strategic decision-making.
• Support revenue growth initiatives through pricing analysis, subscription optimization, and enterprise growth strategies.
• Analyze paid acquisition channels and campaigns performance, identifying opportunities for optimization, budget allocation, and sustainable growth.
• Conduct analysis on social media performance, SEO initiatives, and marketing spend to maximize reach, engagement, and cost-effectiveness.

Requirements

• Have 6-8+ years of experience working as a data scientist or related role with growth focus.
• Experience with growth disciplines including paid acquisition, product marketing, SEO, social media, lifecycle marketing, product analytics, and/or conversion optimization.
• Proficiency in SQL and experience with BI and visualization tools (e.g., Omni, Mode, Hex, Looker).
• Experience designing, implementing, and analyzing A/B tests and statistical experimentation.
• Ability to take ownership and thrive with open-ended problems and cross-functional collaboration.
• Experience with data modeling and pipeline development (e.g., dbt, Airflow).

Nice to Have

• Previous experience at a high-growth startup or early-stage company in a growth-focused data science role.
• Hands-on experience with dbt and data engineering/analytics engineering.
• Experience with Snowflake and modern data stack tools.
• Comfortable with Python for data analysis and automation.
• Machine learning experience, particularly in growth applications (LTV prediction, churn modeling, attribution modeling, recommendation systems).
• Experience with marketing attribution, cohort analysis, funnel optimization, and growth accounting frameworks.

Benefits & Perks

• Comprehensive health, dental, and vision insurance for you and your dependents.
• Includes a 401(k) plan.
• Cash compensation range of $200,000 - $250,000, with final amounts based on experience and expertise.
• Equity may be part of the total compensation package.