Senior Data Scientist, TurboTax

Company Overview

Job Overview

We are looking for a Senior Data Scientist to join the Consumer Group AI Tax team. This role sits at the intersection of AI-powered product experiences and rigorous measurement. You will lead hypothesis-driven experimentation and product analytics that improve customer outcomes across critical tax journeys (e.g., guided flows, integrations, filing readiness, and post-release quality). Your work will shape roadmaps, de-risk launches, and drive measurable customer and business impact at scale.

Responsibilities

Experimentation strategy and causal measurement

Own the end to end experimentation agenda for key AI Tax initiatives, including defining learning goals, translating product strategy into testable hypotheses, and building an experimentation roadmap aligned to seasonality and release cycles

Design, execute, and analyze online experiments such as A B tests and multivariate tests, incremental rollouts, and holdouts, including advanced approaches when classical randomization is constrained, such as quasi experimental methods, CUPED or variance reduction, and sequential testing

Provide clear recommendations on ship, iterate, or stop decisions grounded in statistical rigor, guardrail metrics, and customer impact tradeoffs

Product analytics and funnel optimization

Build and evolve measurement for high signal customer journeys, including funnels, drop off diagnostics, step level friction analysis, and segmentation that uncovers who is impacted and why

Partner with Product and Design to identify opportunities to reduce friction, improve comprehension, increase task completion, and raise filing confidence while ensuring experience quality and customer trust

Instrumentation, metrics, and self serve insights

Drive instrumentation quality by defining event taxonomies, validating telemetry, and ensuring experiment readouts are reliable and reproducible

Develop scalable dashboards and curated metric layers that enable fast, consistent readouts across AI Tax initiatives, including adoption, success and error rates, attempt and completion rates, quality signals, and operational metrics

Establish single source of truth reporting for critical launches and ongoing run the business monitoring

AI feature evaluation and launch readiness

Partner with Applied ML, Engineering, and Data Engineering to connect offline evaluation with online impact measurement for AI powered experiences

Define launch measurement plans, success criteria, and post launch monitoring strategies, including guardrails for quality, fairness, and customer trust

Cross functional leadership and storytelling

Influence stakeholders through crisp narratives, clear visualizations, and leadership ready readouts that convert analytical results into product actions

Mentor peers and raise the bar on analytical craftsmanship, experiment hygiene, and documentation practices

Qualifications

4 plus years of experience in product analytics, experimentation, customer experience analytics, or a related data science role

Advanced SQL proficiency, including complex querying, segmentation, aggregation, and working efficiently with large scale warehouse data

Strong Python skills for analysis and production ready analytics, including reproducible workflows and statistical tooling

Deep understanding of experimentation and inference, including power analysis, metric design, variance reduction, and interpretation of results in real world product settings

Strong statistical foundation with demonstrated ability to handle ambiguity and make practical recommendations

Experience with big data or distributed systems such as Spark or Hive and modern data ecosystems

Solid software engineering fundamentals, including Git based workflows, code reviews, testing, and maintainable analysis code

Excellent communication skills and the ability to translate complex findings into clear, actionable guidance for product and engineering partners

Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, Math, Engineering, or similar, or equivalent practical experience

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

Bay Area California $ 159,500- 215,500

Southern California $ 149,500- 202,500