Urgent! Principal Data Scientist Job Opening In SAN DIEGO – Now Hiring Intuit
**Overview**
Join the Intuit Customer Success team as a Principal Data Scientist within our Expert Network.
In this role, you will help shape the AI strategy for our product support and live experiences.
You’ll be central to optimizing our greatest resource, our people, through innovating, experimenting, learning, pivoting, and scaling AI-driven solutions.
This is a mission-critical role requiring a strategic thought partner who brings cutting-edge data science techniques and deep domain expertise to influence our Customer Success strategy and drive business growth at scale.
You will partner directly with cross-functional leaders—across Product Management, Engineering, Data, Customer Success, and Service Delivery—to architect the analytical frameworks and modeling solutions that shape our Expert Network and our AI Driven platform.
This role demands a strong foundation in statistical methods, machine learning, experimentation design, and causal inference, coupled with a demonstrated ability to lead with influence, navigate ambiguity, and execute with precision.
**Responsibilities**
+ **Advanced Predictive Modeling & Machine Learning:** Design, build, and deploy scalable models—including ensemble methods, time-series forecasting, LTV modeling, deep learning architectures, and uplift modeling—to uncover high-impact growth opportunities and drive personalization.
+ **Experimentation Science & Design:** Own the end-to-end experimentation pipeline—from hypothesis generation and design (e.g., CUPED, multi-armed bandits, Bayesian Inference) to rigorous causal interpretation and impact quantification.
+ **Causal Inference:** Lead causal inference and econometric analyses to understand and influence key levers of business growth with a crisp understanding of incremental impact.
+ **Metric Design & Impact Attribution:** Define and evolve success metrics using state-of-the-art measurement frameworks, ensuring that business KPIs are both predictive and causally informative.
+ **Communication:** Deliver compelling, data-driven narratives to VP and Director stakeholders; distill complex findings into clear, actionable strategy recommendations with quantified business impact.
+ **ML Engineering & Native AI:** Collaborate with the Central AI team to productionalize models that enhance personalization and automation throughout the user experience.
+ **Thought Leadership & Mentorship** : Mentor senior data scientists and establish best practices in experimental design, model validation, and responsible AI usage; drive a culture of analytical excellence and scientific rigor.
+ **Strategic Influence:** Demonstrate extreme ownership across cross-functional initiatives, influencing product vision and delivering measurable impact through analytics innovation.
**Qualifications**
+ Master’s or PhD degree in Computer Science, Statistics, Econometrics, Data Science, or a quantitative field.
+ 10+ years of progressive experience in applied data science roles with increasing scope and complexity.
+ Proven experience applying state-of-the-art machine learning and causal inference methodologies in high-impact, product-facing applications.
+ Expert-level proficiency in SQL as well as Python or R
+ Demonstrated success integrating ML models into production environments, especially within personalization, recommendation, or AI-assisted UX.
+ Deep understanding of Generative AI and other evolving technologies.
Application of GenAI at scale in a production environment
+ Deep knowledge of experimental design, including non-standard A/B testing methods, uplift modeling, and sequential testing frameworks.
+ Hands-on experience with data visualization tools like Tableau or Qlik.
+ Strong communication and storytelling abilities—adept at translating sophisticated analytics into strategic guidance.
+ Proven leadership in mentoring technical talent and driving cross-team alignment through data science innovation.
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 (https://www.intuit.com/careers/benefits/full-time-employees/) ).
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:
**What you'll bring**
**How you will lead**
EOE AA M/F/Vet/Disability.
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
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Unlock Your Principal Data Potential: Insight & Career Growth Guide
Real-time Principal Data Jobs Trends in SAN DIEGO, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Principal Data in SAN DIEGO, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 62986 jobs in United States and 2308 jobs in SAN DIEGO. This comprehensive analysis highlights market share and opportunities for professionals in Principal Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Intuit is currently hiring and seeking a Principal Data Scientist to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Intuit adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Principal Data Scientist Jobs United States varies, but the pay scale is rated "Standard" in SAN DIEGO. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Principal Data Scientist typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Principal Data Scientist interview at Intuit, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Intuit's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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