Staff Data Scientist (Fintech)

TL;DR

Staff Data Scientist (Fintech): Leading causal inference, econometric analysis, and experimental design to shape product lineup and pricing strategies for hirify.global's core TurboTax business with an accent on driving growth and monetization. Focus on translating complex technical findings into actionable insights for senior leadership and mentoring junior team members.

Location: Onsite in Mountain View, California, USA

Company

hirify.global is a global financial technology platform powering prosperity for approximately 100 million customers worldwide with products like TurboTax, Credit Karma, QuickBooks, and Mailchimp.

What you will do

• Lead causal inference and econometric analyses to understand and influence key levers of business growth.
• Design, implement, and analyze experiments and quasi-experiments to measure the impact of new initiatives.
• Define key business indicators for projects, ensuring alignment with company objectives.
• Translate complex technical findings into clear, actionable insights for senior leadership.
• Mentor junior team members and help shape the team’s analytical rigor and methodology standards.
• Demonstrate boundaryless leadership and extreme accountability by proactively driving outcomes across teams.

Requirements

• Bachelor's degree in Statistics, Economics, Computer Science, or a related quantitative field; advanced degrees (Master's or PhD in economics or statistics) are highly desirable.
• At least 6 years of experience applying statistical/econometric and modeling skills in decision making (or 2 years of experience with an advanced degree).
• Demonstrated expertise in causal inference, including advanced experimentation, synthetic controls, regression discontinuity, and instrumental variables.
• Proven ability to navigate through ambiguity and deliver results that significantly impact the business.
• Excellent communication skills and the ability to work effectively with both technical and non-technical colleagues.
• Proficiency in SQL and a statistical programming language such as Python and/or R.

Culture & Benefits

• Competitive compensation package with a strong pay-for-performance rewards approach.
• Eligibility for a cash bonus, equity rewards, and benefits.