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Intuit Manager Data Science United States, California, San Francisco 349473769
27.03.2025
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Responsibilities
- Leads and nurtures a team of talented analysts and scientists with a focus on expert performance, expert skills and profile, and operational performance
- Partners with business leaders (e.g., Service Delivery, Operations, Learning & Development, Expert Engagement) to define business strategies, areas of investment, and critical priorities.
- Translates business and analytics strategies into multiple short-term and long-term projects, and manages end-to-end execution.
- Activates analytics insights that lead to decisions or better hypotheses, and evangelizes innovative analytics ideas that enable new opportunities.
- Drives analytics rigor by inspecting and experimenting methodologies, improving techniques, and creating a learning culture.
- Drives data roadmap from data quality to data visualization, and marshals resources from multiple functions to deliver scalable solutions.
- Developing and executing business intelligence strategies that drive business growth through the effective use of data analytics, data visualization, and reporting.
- Role-models “win-together” while challenging status quo and driving changes across teams regardless of organizational structure.
- Examples of deliverables:
- Data insights to inform the future: development of KPIs, business performance diagnostics, expert profile analyses, self-service analytics, and etc. to drive actionable expert/operations insights.
- Data products to transform expert experiences: data predictions, propensity modeling, and etc. to make expert and operator experiences more intelligent with data.
Qualifications
- 7+ years of diverse analytics experience on end-to-end customer-level data
- Proven experience in leading a team of analysts and/or scientists
- Strong passion in uncovering strategic opportunities and solving business problems
- Proficient with SQL, Python
- Experience in statistical modeling techniques
- Experience in AI/ML and LLM integration into analysis/data worklow
- Experience in data gap assessments, requirements and infrastructure implementation
- Outstanding communications skills with both technical and non-technical colleagues
- Undergraduate degree a must; Equivalent work experience considered. Masters in a quantitative discipline preferred
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