Senior Data Scientist Mountain View, California
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
High-value role reflecting strong market demand for data-driven decision-making within financial technology environments.
- Lucrative salary range reflecting high demand for data skills.
- Opportunities for growth within a large financial organization.
- Role fosters collaboration across multiple business units.
Pros
- Strong opportunities for career advancement in data analytics.
- Collaborative work with cross-functional teams enhances skill diversification.
- Participation in impactful projects within a leading financial organization.
Cons
- High technical skill requirements may limit applicant pool.
- Fast-paced environment may lead to work pressure.
- Potential for long hours depending on project timelines.
Who it's for
Mid to Senior • Hybrid / collaborative on-site work
Good fit
- Data scientists with strong analytical skills.
- Professionals eager to influence product and business decisions.
- Candidates interested in finance and analytics.
Not recommended for
- Individuals without a data analytics background.
- Those who prefer remote or isolated workflows.
- Candidates who are disinterested in teamwork and collaboration.
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
We are looking for a Sr. Data Scientist to join the CRM Analytics team! Your effort will maximize proficiency and productivity with our ecosystem marketing, product and business data and become the domain expert in multiple internal and external data sources. As a Sr. Data Scientist you will collaborate with different functions (Data Scientists, Data Engineers, Technical Data Analysts and Product Developers) of the Intuit Small business group organization.
Responsibilities
- Partner with teams across all of Intuit (including product development, marketing, data engineering, compliance, risk policy, etc.) to enable decision support and key customer insights
- Develop compelling visualizations that crystallize business opportunities for business stakeholders and leaders to make timely decisions.
- Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals.
- Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, sustainable, and meet expectations of various stakeholders
- Provide recommendations utilizing multiple types of data, business knowledge, and strategic assumptions when data doesn’t exist.
- Build relationships with other functions critical to the team's mission.
- Mentor and coach other analytics team members to drive creative ideas, use of the latest data techniques and elevate outcomes.
- Deliver key metrics, dashboards and ad-hoc analyses with interpretation, contributing to the development of hypotheses and actions for run the business metrics.
- Designs and implements technical and business documentation
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.
Qualifications
- 4+ Years of Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch.
- Experience in modern advanced analytical tools and programming languages such as Python.
- Data query and data processing tools/systems (e.g., relational, NoSQL, stream processing).
- Distributed computing systems and related technologies (e.g., Spark, Hive)
- Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code.
- Bachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master's Degree preferred.
- Experience in developing data models, schema design, and working knowledge of cloud computing/services particularly in AWS
- Experience in building multidimensional schemas for consolidating data from multiple sources (Redshift, Hive, SparkSQL, Athena)
- Good working experience with data analytics and visualization tools (Tableau, QlikSense).
- Knowledge of Computer science fundamentals: data structures, algorithms, and performance complexity
- Familiarity with Data Science workflow and life cycle
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:
Bay Area California,CA $ 159000- 215000
