Intuit's Customer Success team is transforming the industry with high-touch professional services powered by data-driven, technology-lead operations. This role is focused on services as a product, connecting customers with professionals to "Power Prosperity Around the World." The Manager, Data Science will lead a team to drive insights and innovation across Assisted Tax Products and the Customer Success ecosystem, leveraging data, experimentation, machine learning, and AI to influence product strategy and create customer experiences.
Requirements
- Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms.
- Deep expertise in at least one core area: experimentation (A/B testing, causal inference), predictive modeling, machine learning, or statistical analysis.
- Demonstrated experience applying AI/ML to improve operational efficiency, customer experience, or large-scale product ecosystems.
- Proven ability to deliver end-to-end data science solutions that create customer or business value.
- Ability to balance strategic thinking with hands-on execution in ambiguous, high-growth environments.
Responsibilities
- Provide technical leadership in applying advanced statistical, machine learning, and experimental design methods to complex problems.
- Translate ambiguous business problems into well-defined analytical projects, shaping strategic decisions through data-driven insights.
- Champion the use of experimentation and causal inference to validate product hypotheses and optimize experiences.
- Drive continuous improvement in data science methodologies, tools, and experimentation practices.
- Partner with engineering and product to scale AI- and ML-driven automation across customer and expert workflows, driving measurable improvements in efficiency, customer satisfaction, and conversion.
- Act as a thought leader within Intuit on emerging trends in data science, AI/ML, and Customer Success analytics, sharing insights across business units.
- Lead and influence cross-functional teams using data driven insights and influence innovative data backed solutions in complex situations.
Other
- Build, lead, and mentor a team of data scientists, ensuring growth in technical depth, business acumen, and leadership skills.
- Provide clarity and direction in a fast-paced and ambiguous environment, enabling teams to focus on high-impact opportunities while adapting to evolving business priorities.
- Build scalable structures, processes, and rituals that allow teams to operate effectively in nascent product spaces.
- Foster resilience, adaptability, and accountability within the team while maintaining a culture of continuous learning.
- Provide clear, actionable recommendations to senior leaders across product, design, and engineering.
- Strong collaboration and communication skills, with ability to influence product and engineering decisions.
- Track record of partnering with cross-functional stakeholders (e.g., product, operations, compliance, international teams) to deliver scalable solutions.
