Senior Data Scientist Mountain View, California
Content + Source + Freshness • 14 Dec 2025 • 95% confidence
Offer value
The job's value is high due to its pivotal role in decision-making at Intuit and opportunities to drive significant innovations in data science and analytics.
- Significant influence over business analytics and strategy.
- Opportunities for substantial professional growth.
- Diverse team collaboration leading to innovative insights.
Pros
- Opportunity to influence key business strategies.
- Potential for professional growth in data analytics and leadership.
- Engagement with diverse cross-functional teams for more holistic insights.
Cons
- Requires extensive experience in applied data science (5+ years).
- Fast-paced environment can lead to increased stress levels.
- Heavy reliance on data and analytics tools may require continuous upskilling.
Who it's for
Senior • Office/Remote hybrid
Good fit
- Seasoned data scientists looking for growth.
- Professionals eager to influence product outcomes via data.
- Individuals interested in teamwork across product and technology.
Not recommended for
- Recent graduates or those without analytics experience.
- Candidates seeking non-collaborative roles.
- Individuals preferring low-pressure environments.
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
The Accountant Data Science team is seeking an experienced Data Scientist to join our team. This role requires a balance of hands-on technical expertise and strategic influence. You will own the entire data science workflow — from designing rigorous experiments and shaping data pipelines, to performing advanced statistical analyses, developing predictive models, and communicating insights that influence strategy. You’ll partner closely with Product, Design, Marketing, and Engineering teams to ensure data is leveraged at every stage of the customer journey, enabling smarter decisions and measurable business outcomes.
Responsibilities
- Conceptualizing business opportunities, formulating hypotheses, defining goals and key metrics, and delivering actionable recommendations.
- Frame business questions, extract and prepare data, conduct analyses, and deliver clear, actionable insights
- Design, implement, and analyze A/B tests and other experiments to evaluate new product features, marketing strategies, and customer engagement initiatives.
- Apply causal inference methods to assess the true impact of product and marketing interventions.
- Analyze user behavior, adoption patterns, and retention drivers to inform product roadmap and strategy.
- Build segmentation frameworks and models to optimize targeting and marketing
- Translate complex analyses into compelling stories that influence executive decision-making.
- Partner with stakeholders across Product, Design, Marketing, and Engineering to shape data-driven strategies.
Qualifications
- Advanced degree in Data Science, Statistics, Economics, Computer Science, or a related quantitative field.
- 5+ years of experience in applied data science or analytics, with a strong track record in product and marketing contexts.
- Deep expertise in experimental design (A/B testing, multivariate tests) and causal inference methods (e.g., propensity scoring, synthetic controls, difference-in-differences).
- Strong proficiency in SQL and Python or R for data extraction, wrangling, analysis, and modeling.
- Demonstrated ability to tell stories with data, including building clear visualizations and delivering insights that drive decisions at the executive level.
- Proven experience working with large-scale datasets and modern data platforms (e.g., BigQuery, Snowflake, Databricks).
- Strong communication and collaboration skills, with the ability to partner across technical and non-technical teams.
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:
