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Urgent! Staff Data Scientist Job Opening In MOUNTAIN VIEW – Now Hiring Intuit
**Overview**
Intuit’s Global Business Solutions Group (GBSG) is committed to creating tools and services that dramatically increases the ability of small-medium businesses (SMBs) to manage cash flow.
Quickbooks Money team is at the center of that mission working on products that enable customers to get paid faster with confidence.
The team is in the process of bringing various exciting and innovative offerings to the market that will further enhance a SMBs ability to accept payments.
We are looking for top talents and a team member that loves new challenges, cracking tough problems, working cross-functionally and with great passion for innovation.
If you are looking to join a fastpaced, innovative and incredibly fun team, then we encourage you to apply.
This role will focus on enabling data driven decision making for our payments products.
If you are a data expert, you will get an exciting opportunity in an innovative industry which combines finance and high-tech.
We are building the world-leading financial products for our customers.
**Responsibilities**
+ Drive strategic thinking and cross-functional alignment around datadriven approaches to optimize product and GTM efforts (inclusive of experimentation) based on customer segments, lifecycle stages, and other critical customer attributes
+ Lead deep exploration of customer data and spearhead customer segmentation, High value analyses, and other actionable analysis/ modeling
+ Develop (alongside product and marketing counterparts) experimentation plans to measure and optimize execution of data-driven strategies across execution, targeting, and personalization
+ Partner with cross-functional stakeholders to better understand our users and create a single, accurate view of a customer across businesses to make decisions about how best to acquire/retain them, segment, identify high potential value, and proactively interact with them
+ Partner with business leaders (e.g. product, business development and finance) to define business strategies, areas of investment, and critical priorities
**Qualifications**
+ 6-12 years of experience working in product, customer or other related analytics function
+ Highly proficient in A/B testing, SQL, Tableau, and Excel.
Working knowledge in Python or Amplitude is a plus.
+ Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms
+ Ability to narrate complex stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholders.
+ Ability to manage multiple projects simultaneously to meet objectives and deadlines.
+ Proactive and inquisitive learner, seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances.
+ Strong organizational skills, time management, portfolio prioritization experience, and accountability required.
+ Experience in payments, banking or lending industry is a plus.
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 121024 jobs in United States and 1451 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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