Intuit is seeking a Senior Data Scientist to translate evolving business strategies into impactful, data-driven projects, bridging the gap between raw data and high-level business application to guide long-term strategic direction and shape the future of Intuit's growth.
Requirements
- Strong proficiency in SQL and Python.
- Experience building models and applying experimentation concepts to strategic decisions.
- Strong understanding of A/B testing and causal inference principles — able to guide teams on interpretation, limitations, and strategic implications.
Responsibilities
- Build and apply models that forecast business outcomes, evaluate scenarios, and inform strategic choices.
- Provide guidance on experimentation frameworks — advising on design considerations, interpreting results, and helping teams think critically about pricing, customer behavior, and growth experiments.
- Develop predictive models that forecast business performance and uncover new growth opportunities.
- Translate complex analysis into compelling stories and insights that resonate with senior executives and non-technical stakeholders.
Other
- Partner with leaders across product marketing, channel marketing, finance, data engineering, and other data science teams to translate evolving business strategies into impactful, data-driven projects.
- Serve as a strategic thought partner to research, marketing, finance, product, and data engineering teams, building alignment and driving data-informed decision-making.
- Exceptional communication skills, with the ability to influence executives and collaborate across technical and non-technical teams.
- Ability to thrive in ambiguity and connect data to strategic clarity.
- 5+ years of experience in data science, strategy, or analytics roles, ideally including time in consulting or a strategy-focused capacity.
