Staff Data Scientist (Marketing & Growth)

TL;DR

Staff Data Scientist (Marketing & Growth): Leading high-impact data science initiatives across marketing, growth, and product surfaces with an accent on causal measurement, uplift modeling, and AI-enabled workflows. Focus on designing scalable experimentation frameworks, improving acquisition and retention, and translating complex analyses into executive recommendations.

Location: Must be based in the San Francisco Bay Area (Hybrid: 3x a week in office)

Salary: $179,500 - $269,500

Company

hirify.global is a global community for good dedicated to helping people help each other through a powerful crowdfunding platform.

What you will do

• Lead data science initiatives across marketing, growth, and product from problem definition to execution and recommendation.
• Define technical strategy and establish best practices for experimentation, causal measurement, and decision science.
• Design and interpret experiments and quasi-experiments to estimate incrementality and long-term business value.
• Develop ML and uplift models to optimize targeting, personalization, and budget allocation.
• Partner with cross-functional leaders in Marketing, Growth, and Finance to evaluate user journeys and ROI.
• Mentor other data scientists and analysts through design reviews and methodology discussions.

Requirements

• 8+ years of experience leading data science, applied statistics, or machine learning projects.
• Master’s degree or Ph.D. in a quantitative field, or equivalent applied experience.
• Strong expertise in statistical inference, causal inference, uplift modeling, and treatment/control frameworks.
• Advanced proficiency with SQL and Python for data extraction, modeling, and analysis.
• Experience using AI-assisted tools to increase the speed and quality of analysis and coding.
• Must be based in the San Francisco Bay Area.

Nice to have

• Experience with media mix modeling, multi-touch attribution, or ROI modeling.
• Proficiency with product analytics tools like Amplitude, Google Analytics, Optimizely, or GrowthBook.
• Familiarity with modern data platforms such as Snowflake, Databricks, dbt, or Airflow.
• Experience operationalizing AI or ML workflows with engineering partners.

Culture & Benefits

• Mission-driven environment focused on making a positive difference in millions of lives.
• Comprehensive healthcare, dental, vision, and life insurance.
• Financial assistance for hybrid work and family planning, along with generous parental leave.
• Flexible time-off policies and mental health and wellness resources.
• Strong commitment to DEI with active employee resource groups.