Drive end-to-end product innovation and personalization across the conversion funnel through advanced analytics and machine learning for TurboTax.
Requirements
- 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 knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks.
- Hands-on experience with data visualization tools like Tableau or Qlik.
- Master’s 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.
Responsibilities
- Design, build, and deploy scalable models—including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling—to uncover high-impact growth opportunities and drive personalization.
- Own the end-to-end experimentation pipeline—from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification.
- Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.
- Embed deeply with TurboTax product teams to proactively identify friction points and shape roadmap priorities using granular funnel diagnostics, behavioral clustering, and AI-powered customer journey optimization.
- Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative.
- Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the TurboTax user experience.
- Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor.
Other
- This is a mission-critical role requiring a strategic thought partner who brings cutting-edge data science techniques and deep domain expertise to influence product strategy, customer experience, and business growth at scale.
- You will partner directly with cross-functional leaders—across product, design, engineering, and marketing—to architect the analytical frameworks and modeling solutions that shape the user experience for millions of TurboTax customers.
- This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision.
- Strong communication and storytelling abilities—adept at translating sophisticated analytics into strategic guidance.
- Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation.
