Senior Data Scientist: Talent Acquisition Analytics Lead

Intuit Inc.; United States; On-site; USD 211,000 - 285,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team in Mountain View. You will drive TA analytics strategy, forecasting, funnel modeling, and AI-native use cases, partnering with HR leaders, COEs, and business partners.

The role combines hands-on analytics with advisory leadership to align hiring, attrition, and internal mobility insights with business decisions, while benchmarking against industry standards to

Qualifications

• 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics.
• Proven experience partnering with TA leadership to maintain an analytics roadmap and lead cross-functional analytics initiatives.
• Demonstrated expertise in building and interpreting hiring models and predictive/forecast models; awareness of causal inference methods.

Responsibilities

• Translate TA and business strategy into analytical problems and generate hypotheses from data.
• Define and socialize TA Data & Analytics roadmap; build business case for investments.
• Define metrics for TA and governance at function level.
• Influence senior stakeholders and translate analysis into actionable narratives.
• Connect insights across candidate and employee lifecycle for a single view.
• Benchmark TA analytics against industry standards to inform forecasting and productivity.

Skills

SQL

Python

R

Avature

Data governance

Hiring models

Propensity score

Cross-functional partnership

ATS experience

Tools

Avature

Job description

Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team in Mountain View. You will drive TA analytics strategy, forecasting, funnel modeling, and AI-native use cases, partnering with HR leaders, COEs, and business partners.

The role combines hands-on analytics with advisory leadership to align hiring, attrition, and internal mobility insights with business decisions, while benchmarking against industry standards to