What You'll Do- Design and implement rigorous experimentation frameworks, including A/B tests, traffic allocation, incrementality tests, and metric definitions for marketing performance.
- Analyze ad and campaign performance across channels to provide actionable readouts, insights, and recommendations to guide marketing and growth strategy.
- Build data pipelines, processing logic, and observability dashboards to ensure data quality and transparency in marketing performance reporting.
- Develop and maintain data science models for attribution, causal inference (treatment effect, debiasing), predictive optimization, and marketing efficiency measurement.
- Partner closely with marketing ops, product, data, and AI engineering teams to identify growth opportunities and design robust experimentation strategies across human-led and AI-automated marketing initiatives.
- Translate complex analytical findings into clear, data-driven recommendations that influence business decisions and marketing strategy.
What You'll BringRequired:
- Bachelor's or Master's degree in Statistics, Computer Science, Data Science, Economics, or a related quantitative field.
- Strong statistical and experimental design skills (e.g., A/B testing, causal inference, uplift modeling).
- Proficiency in SQL, Python or R for data analysis and model development.
- Hands-on experience with data visualization tools and marketing data platforms.
- Solid understanding of marketing analytics concepts, including data tracking, attribution, and incrementality measurement.
- Ability to communicate complex technical insights clearly to non-technical stakeholders.
- Collaborative mindset with experience working in cross-functional teams (marketing, product, data engineering).
Preferred:
- Experience working with marketing data and platforms (e.g., Google Ads, Meta Ads, CRM, attribution platforms).
- Experience with marketing measurement frameworks.
- Familiarity with data pipelines and workflow tools (e.g., Airflow, dbt, Dataflow, or similar).
- Exposure to cloud-based data infrastructure (e.g., BigQuery, AWS Redshift, or Snowflake).
- Experience building dashboards for marketing observability and performance monitoring.
- Demonstrated ability to translate experimentation insights into optimization strategies.
Compensation and BenefitsWe're offering a stake in our success and a commitment to your well-being. Our total compensation package is designed to support you, both professionally and personally:
- Salary: Depending on your years of experience, a base salary range of $160,000 to $225,000.
- Equity: We want you to feel invested in our mission, which is why we offer meaningful equity.
- Health and Wellness: Our medical, dental and vision coverage is designed to take care of you and your family.
- 401(k): We'll help you build for your future with a competitive 401(k) program.
Are you ready to build the future with us? We believe in a holistic approach to hiring. If you're passionate about our mission and have a drive to learn and grow, we encourage you to apply even if you don't meet every single requirement. We value potential, curiosity, and hunger. We can't wait to hear from you.
