Sr Staff Data Scientist (AI)

TL;DR

Sr Staff Data Scientist (AI): Shaping the AI strategy for product support and live experiences, optimizing the expert network through innovating and scaling AI-driven solutions. With an accent on advanced predictive modeling, machine learning, experimentation design, and causal inference. Focus on architecting analytical frameworks, productionalizing ML models that enhance personalization and automation, and driving business growth at scale.

Location: San Diego, California

Company

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

What you will do

• Design, build, and deploy scalable predictive models and machine learning solutions, including deep learning architectures and uplift modeling.
• Own the end-to-end experimentation pipeline from hypothesis generation to rigorous causal interpretation and impact quantification.
• Lead causal inference and econometric analyses to understand and influence key levers of business growth.
• Define and evolve success metrics using state-of-the-art measurement frameworks.
• Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience.
• Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage.

Requirements

• Master’s or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.
• 10+ years of progressive experience in applied data science roles with increasing scope and complexity.
• Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications.
• Expert-level proficiency in SQL as well as Python or R.
• Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX.
• Deep understanding of Generative AI and its application at scale in a production environment.
• Deep knowledge of experimental design, including non-standard A/B testing methods.
• Strong communication and storytelling abilities, adept at translating sophisticated analytics into strategic guidance.

Culture & Benefits

• Competitive compensation package with a strong pay for performance rewards approach.
• Eligible for a cash bonus and equity rewards.
• Access to comprehensive benefits package.