Staff Data Scientist
GoCo.io Inc
Staff Data Scientist
Company Overview
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
We are seeking a Staff Data Scientist to join the Intuit Customer Success (ICS) Data Science & Analytics team supporting Expert Experiences and Intuit Academy. This role is focused on setting the analytical bar for high-impact, decision-critical work that informs training effectiveness, expert readiness, and customer success outcomes.
As a Staff Data Scientist, you will operate as a technical leader and thought partner, shaping how analytics and data science are applied across complex, ambiguous problem spaces. You will collaborate closely with cross-functional partners across Product, Learning & Development, Quality, Operations, Engineering, and Analytics to translate business questions into robust analytical frameworks, guide methodological decisions, and ensure outputs are truly decision-ready.
Working closely with the Intuit Assist Expert Experiences ecosystem, your contributions will help shape how we scale expert quality and enablement as Intuit builds a service platform that empowers customers beyond core product use.
Responsibilities
Key Responsibilities
Technical Leadership & Analytical Judgment
- Lead the framing of ambiguous, high-impact business problems into clear analytical hypotheses, causal frameworks, and success metrics.
- Set and reinforce standards for analytical rigor, assumption validation, internal review, and “definition of done.”
- Serve as a technical role model by producing bar-setting analyses that others can learn from and calibrate against.
Advanced Data Science & Measurement
- Own complex, end-to-end analytical initiatives, including data exploration, validation, feature engineering, statistical modeling, causal inference, and interpretation.
- Apply advanced statistical, experimental, and machine learning techniques to understand drivers of expert performance, learning outcomes, and customer experience.
- Design and review experimentation strategies (A/B tests, pilots, quasi-experiments) to ensure methodological soundness and business relevance.
Influence, Storytelling & Decision Support
- Synthesize complex findings into clear, compelling narratives that influence senior stakeholders and inform product, program, and operational decisions.
- Act as a trusted advisor by surfacing tradeoffs, risks, and implications—not just results.
- Partner cross-functionally to align on metrics definitions, assumptions, and interpretation before analysis is shared broadly.
Scalable & Reproducible Analytics
- Develop reusable analytical frameworks, standardized metrics, and reference implementations that scale quality across the team.
- Guide the development of dashboards, reporting pipelines, and measurement systems in partnership with Data Engineering and Analytics.
- Improve analytical maturity across the org by reducing rework, catching issues earlier, and enabling others to deliver higher-quality outputs.
Qualifications
Qualifications
- 7+ years of experience in data science or analytics roles, preferably in product, web, customer care, or customer experience analytics.
- Advanced proficiency in SQL and experience working with large-scale data platforms (e.g., Spark, Databricks, BigQuery, Redshift).
- Strong experience with experimentation and causal inference (e.g., A/B/n testing, applied causal methods), with excellent judgment on when and how to apply them.
- Familiarity with AI/ML and GenAI-enabled analytics, and the ability to reason about implications for measurement, experimentation, and user behavior.
- Demonstrated ability to lead through influence, not authority—guiding analytical direction, standards, and decisions across teams.
- Strong business acumen and ability to translate strategy into testable hypotheses and actionable insights.
- Excellent data storytelling and communication skills, with the ability to influence both technical and non-technical audiences.
- Comfortable operating in fast-paced, ambiguous environments, balancing rigor with pragmatism.
What Success Looks Like in This Role
- Sets a clear analytical bar that improves consistency and quality across the team.
- Delivers insights that senior stakeholders trust and use to make decisions.
- Identifies flawed assumptions, incomplete framing, or execution risk before analysis is shared.
- Scales impact by enabling others, not just through individual contribution.
- Reduces dependency on manager-level review by establishing strong analytical standards.
Why Join Us
You’ll work on high-impact problems at the intersection of learning, analytics, and customer success, with the opportunity to shape how Intuit trains, enables, and scales expert services. This role offers meaningful influence, deep cross-functional exposure, and the chance to operate as a true technical leader.
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: