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Urgent! Staff Data Scientist Job Opening In SAN DIEGO – Now Hiring Intuit
**Overview**
The Global Business Solutions Group (GBSG) Product Growth team is dedicated to accelerating business outcomes through a data-driven, product-led approach to growth.
We leverage Product-Led Growth (PLG) tactics, scalable growth loops, and rigorous experimentation to uncover and amplify the highest-impact opportunities across the product ecosystem.
Our team unites exceptional talent across disciplines to execute rapid tests, conduct deep analytics, and foster cross-functional collaboration that drives both customer value and business performance.
As a Staff Data Scientist, you will operate as a senior individual contributor, partnering closely with peers and leaders to identify, validate, and refine innovative growth strategies.
Your expertise—especially in causal inference and advanced analytics—will be instrumental in surfacing critical insights and translating them into actionable hypotheses that fuel sustained customer and revenue growth.
**Responsibilities**
+ **Set Technical Vision and Strategy:**
+ Contribute to and help refine a data science roadmap aimed at driving product funnel optimization and scalable growth initiatives.
+ Apply rigorous causal inference methods, advanced statistical modeling, and machine learning techniques to turn complex data into actionable insights.
+ **Drive Deep Analytics & Experimentation:**
+ Develop an integrated view of the customer journey across various business metrics, quickly familiarizing yourself with new areas to pinpoint growth opportunities.
+ Design, implement, and analyze targeted experiments to validate hypotheses, ensuring each initiative is built on data-driven insights and sound causal analysis.
+ **Collaborate Across Functions:**
+ Work closely with Product, Engineering, Design, and other cross-functional teams to translate data insights into strategic product enhancements.
+ Support ongoing improvements in instrumentation, data quality, and logging practices to enrich our analytical capabilities and understanding of customer behavior.
+ **Lead by Example:**
+ Serve as a technical SME within the Product Growth team, championing analytical rigor and innovative problem-solving approaches.
+ **Operate with Agility and Impact:**
+ Rapidly assimilate diverse business metrics and data sources to uncover insights and propose high-impact hypotheses.
+ Balance rigorous technical analysis with swift, iterative execution to ensure that insights are quickly transformed into effective strategies.
**Qualifications**
+ **Experience & Expertise:**
+ 5+ years of experience in data science or analytics, with a proven record of applying advanced analytical methods to drive product and business growth.
+ Demonstrated proficiency in causal inference techniques, statistical modeling, machine learning, and experimental design.
+ **Technical Proficiency:**
+ Advanced skills in SQL, Python, R, and other analytical tools, with practical experience using data visualization platforms (e.g., Tableau, Power BI) to communicate insights.
+ Experience with data integration and pipeline development is a plus.
+ **Cross-Functional Collaboration & Leadership:**
+ Strong ability to quickly understand new business areas, mastering the essential data and metrics needed for informed decision-making.
+ Excellent communication and storytelling skills, with a track record of effectively influencing both technical and non-technical stakeholders through data-driven insights.
+ **Mindset & Attributes:**
+ A relentless focus on customer centricity, with deep empathy and a commitment to uncovering opportunities that improve customer experiences.
+ An agile, entrepreneurial mindset, capable of balancing long-term strategic initiatives with rapid, iterative experimentation.
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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