Senior Data Scientist

Company Overview

Job Overview

Intuit’s Identity Data Science Team is looking for a hands-on Senior Data Scientist who is a creative problem solver with a passion to deliver advanced data-driven solutions. You will work alongside other Data Scientists, Technical Analysts, Product Managers, Designers, Engineers, Architects, and Program Managers to evolve Intuit’s Identity capabilities within Intuit’s Platform. As a key member of the data science team, you will have a strong track record of combining advanced analytical skills with exceptional business and entrepreneurial 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, password-less authentication powered through passkeys, Generative AI experiences, 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 a critical component 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 in a clear and concise way 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

- Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available

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

- Share responsibility for owning and maintaining the data science backlog, connecting directly with partners and stakeholders to communicate and align on priorities

Qualifications

- 5+ years of experience working in web, marketing, product, analytics, or other related data science fields with a strong knowledge of statistics

- Exceptional SQL skills and experience working with granular web and native clickstream data

- Highly proficient in Tableau, Qliksense, Quicksight or similar software

- Exceptional ability to take initiative, be a self-starter, and solve problems

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

- Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances

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

- Love for mentoring and guiding others on best practices. Passionate about the advancement of the whole team

- Experience in programming languages, automation tools, and stats packages (e.g. Python) is a plus; comfortable creating re-usable data pipelines