TL;DR

Staff Data Scientist (Ads): Develop advanced predictive models and optimization frameworks to enhance %hirify_global%'s advertising platform with an accent on advertiser growth, measurement, and ad system innovation. Focus on designing robust methodologies, driving strategic impact, and leading cross-functional initiatives in a remote US-based environment.

Location: Remote within the United States

Salary: $217,000 - $303,900 USD

Company

%hirify_global% is a large community-driven platform with over 100,000 active communities and 116 million daily active users, focused on authentic conversations and a growing advertising business.

What you will do

Take end-to-end ownership of complex advertising problem spaces such as funnel acceleration and advertiser lifetime value.
Build and deploy predictive models, optimization frameworks, and decision-support systems for advertiser acquisition and retention.
Define business and performance metrics and design methodologies to measure product and model impact on advertiser ROI and user experience.
Collaborate with engineering, product, and sales teams to align strategic goals and drive execution.
Mentor team members and champion best practices in modeling, experimentation, and measurement.
Leverage causal inference and economic analysis to innovate ad systems in a rapidly evolving ecosystem.

Requirements

Must be located in the United States for remote work.
Master's or Ph.D. in a quantitative discipline with 6+ years (Ph.D.) or 10+ years (M.S.) of relevant experience.
Deep understanding of the ads ecosystem and platform experience.
Expertise in ads creative evaluation, measurement at scale, or customer growth analysis.
Advanced proficiency in Python or R, SQL, machine learning, and experimental design.
Strong problem-solving and communication skills with cross-functional collaboration experience.

Culture & Benefits

Comprehensive healthcare and income replacement programs.
401(k) match and family planning support.
Gender-affirming care and mental health benefits.
Flexible vacation, global days off, and generous parental leave.
Paid volunteer time off.