Senior Data Scientist San Diego, California
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
Strong value due to critical responsibilities in data strategy and collaboration with business teams.
- Key role in guiding business data strategies
- Opportunity to work with extensive datasets
- Requires a solid understanding of data analytics
Pros
- High impact role with direct influence on business decisions
- Opportunity to work with diverse data sources
- Strong demand for data science expertise
Cons
- Requires extensive experience with big data applications
- High expectation for collaboration across teams
- May involve working under tight deadlines
Who it's for
Senior / Lead • Hybrid / remote
Good fit
- Experienced data scientists with a strategic outlook
- Professionals skilled in big data environments
- Individuals eager to apply data insights in business contexts
Not recommended for
- Newcomers without a strong data background
- Those seeking non-collaborative analytical roles
- Candidates comfortable only in technical, isolated tasks
Motivation fit
Key skills
About the job
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
Come join the Intuit Customer Success team as a Senior Data Scientist!
Responsibilities
- Provides guidance and support leadership to Business leaders and stakeholders on how best to harness available data in support of critical business needs and goals
- Leads the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, insight generation/visualization, and action planning
- Uses considerable expertise and independent judgment in collaborating with peers, data engineers, database managers, and business analysts in designing and implementing the research strategy needed to methodically and iteratively structure, extract, cleanse, sample, test, validate, and communicate data-driven insights from complex sources and significant volumes of data for complex and unique business problems
- Applies proven methods and hacking skills in working with divergent data types, data scales, and big data (petabytes), to explore and extrapolate data-driven insights using advanced, predictive statistical modeling and testing applied to data acquired and cleansed from a range of sources (relational and non-relational NoSQL databases)
- Provides to business stakeholders the entrepreneurial guidance essential for appropriately interpreting and building on findings, and fully exploiting the insights revealed through the research
Qualifications
- Business-oriented researchable questions or "working hypotheses" generated in collaboration with business leaders and stakeholders
- Research plans and specifications for large data sets (e.g., statistics, sampling strategy, test specification, steps)
- Algorithms that result from the validation of hypotheses, and contribute to useful predictions and insights
- Input into product development or marketing strategies
- Analytical inquiry findings
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will 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:
