Sr. Director, Data Science & Experimentation (AI)

TL;DR

Sr. Director, Data Science & Experimentation (Data Science/ML): Leading the quantitative backbone for marketing decisions and growth measurement with an accent on causal inference, predictive modeling, and experimentation platforms. Focus on designing statistical architectures, integrating ML into autonomous marketing workflows, and scaling experimentation culture.

Location: United States of America (Hybrid)

Salary: $180,310 – $392,430 per year

Company

hirify.global is a global guide helping millions achieve their goals through a portfolio of iconic consumer products and advertising solutions.

What you will do

• Lead the experimentation platform and methodology, including A/B testing, incrementality studies, and multi-armed bandit frameworks.
• Manage a team of data scientists focused on growth measurement, attribution, and customer lifetime value prediction.
• Develop causal inference frameworks to measure the incremental impact of paid, organic, and owned marketing.
• Architect data pipelines, feature stores, and model-serving infrastructure for real-time campaign optimization.
• Deploy predictive models including propensity, churn, and lookalike audience models to inform budget allocation.
• Collaborate with product leadership to embed ML signals into agentic growth tooling and autonomous workflows.

Requirements

• 12+ years in data science or applied ML, with 4+ years of leadership experience.
• Deep expertise in causal inference, A/B testing, and Bayesian experimental frameworks.
• Strong ML background with experience deploying production-ready propensity and forecasting models.
• Proficiency in Python, SQL, and distributed computing (Spark, BigQuery, or Databricks).
• Experience scaling experimentation platforms within consumer internet or marketing organizations.
• Must be based in the United States of America.

Nice to have

• Experience with Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) at scale.
• Familiarity with agentic AI systems for autonomous marketing.
• Advanced degree (MS or PhD) in Statistics, Computer Science, or Applied Mathematics.

Culture & Benefits

• Flexible hybrid work options with occasional in-person events.
• Comprehensive healthcare and 401k plans.
• Backup childcare and education stipends.
• Inclusive environment with 11 employee resource groups (ERGs).
• Commitment to equal opportunity and accessibility.