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Urgent! Staff Data Scientist Job Opening In MOUNTAIN VIEW – Now Hiring Intuit
**Overview**
Join the Intuit Customer Success team as a Staff 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.
As a Staff Data Scientist, you will join our team of talented Data Engineers, Data Analysts, and Data Scientists to develop tools, define metrics, and build a robust Data/AI infrastructure that informs critical business decisions.
You will also partner closely with cross functional teams in AI Research, Product Management, Service Delivery, Strategy, and Engineering to develop capabilities that will drive our AI Driven platform into the future.
**Responsibilities**
+ Perform hands-on data analysis and modeling with large datasets.
+ Lead experimental designs and measurement plans.
+ Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms.
+ Build optimization models and simulation tools to support strategic decisions across customer success operations, including workforce planning, customer escalations, root cause analysis, scheduling, and routing.
+ Develop and operationalize decision science frameworks to optimize support costs and maximize customer outcomes.
+ Partner with stakeholders across Customer Success, Operations, and Strategy teams to embed AI/ML solutions in real-time decision engines and operational workflows.
+ Work side-by-side with product managers, software engineers, and designers in designing models, experiments, and minimum viable products.
+ Develop generative AI capabilities to power our Expert Network and streamline processes, uncover insights, and reduce the manual burden on the team.
**Qualifications**
+ BS or MS degree in Statistics, Mathematics, Operations Research, Computer Science, Econometrics, or a related field.
+ Advanced proficiency in SQL and a statistical programming language such as Python and/or R.
+ 8+ years of experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining.
+ Deep understanding of Generative AI and other evolving technologies to accelerate insights from multi-modal data.
+ Expertise in experimental design and Multivariate/A-B testing.
+ Strong background in optimization techniques, such as linear programming, integer programming, constraint optimization, and simulation modeling.
+ Experience building and deploying operational models for staffing, queue management, or dynamic resource allocation.
+ Familiarity with customer success metrics and operational KPIs such as Net Promoter Score (NPS), Average Handle Time (AHT), First Contact Resolution (FCR), and agent utilization.
+ Ability to formulate data-backed strategies that will drive step-function growth for the business as well as increase customer benefit.
+ Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
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 MOUNTAIN VIEW, 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 MOUNTAIN VIEW, 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 74288 jobs in United States and 792 jobs in MOUNTAIN VIEW. 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 MOUNTAIN VIEW.
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 MOUNTAIN VIEW. 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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