Staff Data Scientist (AI/ML)

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

Base salary: $194,000–$262,500 per year in Mountain View. The package may also include a cash bonus, equity rewards, and benefits.

Company

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

What you will do

• Partner with Customer Success, Services, Product, and Operations leaders to define business problems, success metrics, and data-informed decisions across Payroll, Payments, and Bill Pay.
• Design and interpret advanced experiments and causal analyses, including quasi-experiments, difference-in-differences, matching, synthetic controls, and regression discontinuity.
• Develop scalable measurement frameworks for engagement, retention, share of wallet, TPV growth, customer health, and support effectiveness.
• Build predictive models and customer segmentation for targeting, prioritization, churn prevention, customer health, and CSM assignment.
• Evaluate AI/ML- and LLM-powered customer experiences, including agentic and human-in-the-loop success motions.
• Translate complex analyses into actionable recommendations, partner with Data Engineering on data quality and scalable assets, and promote experimentation rigor across the organization.

Requirements

• 8+ years of experience in data science, analytics, or product analytics, with impact in customer success, product, or go-to-market domains.
• Deep expertise in causal inference, quasi-experimental design, statistical modeling, and experimentation beyond standard A/B testing.
• Experience building production predictive models and customer segmentation approaches, including propensity, churn, retention, LTV, or customer health models.
• Advanced SQL and strong Python skills, including pandas, numpy, scikit-learn, and statsmodels.
• Experience with large, complex datasets, modern AI-assisted coding and agent workflows, and communicating insights to senior technical and non-technical stakeholders.
• Bachelor’s degree in Statistics, Economics, Mathematics, Computer Science, Data Science, or a related quantitative field; an advanced degree is preferred.

Culture & Benefits

• Work alongside Customer Success, Product, Data Engineering, and Operations teams on high-impact Services problems.
• Use modern AI tooling such as Cursor, Claude, and internal AI/MCP capabilities while maintaining correctness and reproducibility.
• Competitive pay-for-performance compensation approach.
• Potential eligibility for cash bonus, equity rewards, and employee benefits under applicable plans.