Senior Staff Data Scientist - Talent Acquisition Analytics Lead (AI)

Location: Mountain View, California or San Diego, California, United States

Salary: $210,500–$284,500 annual base pay, with potential cash bonus, equity rewards, and benefits.

Company

hirify.global is a financial technology platform serving approximately 100 million customers through products including TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Lead the Talent Acquisition data and analytics strategy, roadmap, prioritization, and investment cases.
• Define function-level metrics for hiring strength and requisition governance, and advise Director-level and above stakeholders.
• Build and evolve hiring forecasts, funnel conversion models, recruiter capacity analytics, and productivity models.
• Connect hiring, attrition, and internal mobility insights into a unified candidate and employee lifecycle view.
• Scope AI-native Talent Acquisition use cases, define success metrics, and guide phased testing and rollout.
• Own data governance across Avature and the data lake, ensuring data quality and readiness for advanced analytics.

Requirements

• 8+ years of People Analytics experience, including 5+ years supporting Talent Acquisition analytics.
• Experience partnering with Talent Acquisition leadership and leading cross-functional initiatives across HR, technology, and business teams.
• Expertise in predictive and forecast models, plus causal inference methods such as propensity score, difference-in-differences, or synthetic control.
• Advanced SQL and hands-on fluency in Python or R for data wrangling and analysis.
• Experience measuring AI-native experiences and connecting model performance metrics to business outcomes.
• Experience with Avature or a related ATS, and ownership of data governance and data quality standards.

Culture & Benefits

• Work with HR leaders, Centers of Excellence, Finance, People Analytics, and business partners.
• Competitive compensation with pay-for-performance rewards.
• Potential cash bonus, equity rewards, and employee benefits according to applicable plans.
• Focus on data-driven and equitable people processes that support growth and inclusion.