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Urgent! Staff Data Scientist Job Opening In SAN DIEGO – Now Hiring Intuit
**Overview**
Join Intuit’s Customer Success, Scaling Assisted Services Data Science Team as a Staff Data Scientist and be at the forefront of transforming how customers connect with our expert-led offerings.
In this strategic role, you'll support our high-growth Full Service offerings by meeting customers where they are: locally, virtually, and authentically.
You’ll play a pivotal role in building and scaling the analytics foundation behind our expert-first experience, influencing product design, marketing strategy, operational execution, and customer delight.
This is an opportunity to help shape a hybrid virtual/in-person expert experience with national reach and deep local relevance – and to fuel Intuit’s next chapter of growth in the $35B assisted tax market
**Responsibilities**
**Elevate End-to-End Customer Experience Through Data**
+ Define and track customer experience metrics across the expert journey, from discovery to service delivery, to ensure consistency, trust, and ease.
+ Partner with CX, operations, and expert network teams to uncover friction points, measure quality, and ensure that expert interactions deliver high customer satisfaction and resolution.
+ Lead efforts to connect Voice of Customer data (surveys, call/chat feedback, behavioral signals) to operational KPIs to identify and act on experience improvement opportunities.
**Design Scalable Analytics Solutions for Hybrid Expert Models**
+ Build robust data infrastructure to monitor and improve hybrid (virtual + physical) service delivery models at scale.
+ Develop dashboards and self-serve tools that enable real-time visibility into experience quality, expert readiness, and resolution performance.
+ Establish and maintain geo-segmented and persona-based reporting frameworks that account for localized service needs and operational nuances.
**Support Operational Excellence and Seasonal Readiness**
+ Analyze expert utilization, capacity planning, and performance trends to inform staffing and scheduling strategies.
+ Drive continuous improvements in expert routing, workload balancing, and tool usage based on empirical data.
+ Partner with operations teams during key seasonal milestones to ensure expert networks are optimized for readiness, efficiency, and service quality.
**Lead with Insightful Storytelling and Cross-Functional Influence**
+ Craft and present compelling insights to senior leaders that guide customer experience investments and operational priorities.
+ Collaborate across Customer Success, CX, and Expert Network teams to align on shared goals for service consistency, customer trust, and business growth.
+ Translate complex data into actionable insights that influence long-term strategy and near-term execution.
**Qualifications**
+ 8+ years in data science, analytics, or a related field, ideally supporting consumer services, marketplaces, or expert-led models.
+ Advanced proficiency in SQL and data visualization (e.g., Tableau), and programming in Python or R.
+ Experience building scalable data pipelines, metrics layers, and experiment platforms; familiarity with dbt, Airflow, Snowflake, or Databricks is a plus.
+ Strong analytical skills including customer segmentation, funnel analytics, geo-analytics, and behavioral modeling.
+ Hands-on experience designing and evaluating A/B and multivariate experiments.
+ Understanding of machine learning and generative AI use cases in consumer applications is a plus.
+ Excellent storytelling and communication skills to influence decisions across technical and non-technical audiences.
+ Proven track record of cross-functional collaboration, managing multiple projects in fast-paced environments.
+ Passion for data craft, mentorship, and continuous improvement with a growth-oriented mindset.
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 Staff Data Potential: Insight & Career Growth Guide
Real-time Staff 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 Staff 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 74392 jobs in United States and 2930 jobs in SAN DIEGO. This comprehensive analysis highlights market share and opportunities for professionals in Staff 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 Staff Data Scientist to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Staff Data Scientist Jobs SAN DIEGO.
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 Staff 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 Staff 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.
To improve your chances of getting hired for Staff Data Scientist, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Staff 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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