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Overview

Intuit’s Identity Data Science & Analytics team is looking for a hands-on Data Science Intern who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Data Scientists, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit’s Identity capabilities within Intuit’s Platform. As a member of the Data Science team, you will have a track record of combining analytical skills with business acumen. You will also have an ownership mindset with a strong willingness to take on new challenges with enthusiasm.

This is an exciting time to join the Identity Data Science team at Intuit as we are building many new cutting-edge capabilities. These include a next-generation Verified Identity Network and modern Authentication capabilities that will power Generative AI experiences and password-less biometric-based authentication, modern and sophisticated fraud prevention, centralized user and account management, and much more. Data is central to Intuit’s decision-making process, and data scientists are critical to evangelize data-driven decisions as we transform and scale Identity capabilities to power Intuit’s future growth.

Responsibilities

+ Partner with cross-functional teams to drive data-backed decisions and actionable insights

+ Use a hypothesis-driven approach to drive design, implementation, and analysis of A/B experiments. Then provide executive level recommendations on next steps based on the test results and insights

+ Communicate analytical findings and recommendations clearly and concisely to non-technical audiences, both in writing and through oral presentations

+ Provide guidance and thought leadership to business leaders and stakeholders on how best to harness available data to support business goals

+ Ensure data collection and data processing is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases

+ Pursue data quality, troubleshoot data anomalies, validate data accuracy, and drive issues to resolution

Qualifications

+ Strong SQL skills and proficient in Tableau and/or Excel

+ Excellent problem-solving skills and end-to-end quantitative thinking

+ Outstanding communications skills with the ability to influence decision makers and build consensus with teams

+ Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that can improve both customer and business outcomes

+ Strong organizational skills, time management, accountability, and the ability to manage multiple projects simultaneously to meet objectives and key deadlines

+ Experience working with granular web and native clickstream data and behavior tracking tools like Adobe Analytics is a plus

+ Experience in programming languages, automation tools, and stats packages (e.g. Python, R, Hive) is a plus; comfortable creating re-usable data sets with high-quality data

+ Currently enrolled in a degree seeking program in Data Science, Statistics, Mathematics or a related technical field.

+ A graduation date at least 4 months after the end of the internship

+ Must be legally authorized to work in the US on a full-time basis during the duration of the internship

+ Ability to work onsite for a minimum of 3 days per week

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:

Southern California $ TBD

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.