Intuit Inc

Senior Staff Data Scientist - Talent Acquisition Analytics Lead

Intuit Inc • $210K — $284K *
Mountain View, CA 94040In-Person
Business Services
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 8+ years in People Analytics, including 5+ years in Talent Acquisition analytics
  • Experience managing an end-to-end analytics roadmap with TA leadership
  • Expertise in predictive hiring models and causal inference methods
  • Advanced SQL skills and proficiency in Python or R for data analysis
  • Experience in scoping and measuring AI-native experiences
  • Proven ability to advise senior leaders and influence decision-making
  • Familiarity with ATS systems such as Avature
  • Ownership of data governance frameworks and data quality standards

Responsibilities

  • Translate TA strategy into analytical problems and validate hypotheses to guide hiring decisions
  • Develop and maintain a prioritized Talent Acquisition Data & Analytics roadmap
  • Define metrics for hiring strength and requisition governance
  • Influence stakeholders with complex analysis and actionable narratives
  • Connect insights across the candidate and employee lifecycle
  • Benchmarks industry best practices for forecasting and recruiter productivity
  • Ideate AI use cases and scope development plans to connect model performance to business outcomes

Benefits

  • Comprehensive health benefits including medical, dental, and vision
  • Retirement plans with company matching
  • Equity rewards based on performance
  • Cash bonuses based on job performance
  • Paid time off and flexible work arrangements
  • Commitment to equitable pay and diversity initiatives
Full Job Description
Intuit is seeking an experienced Talent Acquisition Analytics Lead (Senior Staff Data Scientist) to join our People Data & Analytics team. Our team partners closely with Intuit's HR leaders, COEs, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for a strong Senior Staff Data Scientist to lead Talent Acquisition analytics strategy.

As Talent Acquisition analytics has moved past descriptive reporting, this lead position will drive overall TA analytics strategy focusing on hiring forecasting, talent funnel conversion modeling, and defining and delivering AI-native use cases and prototypes across data & analytics. This role plays a key part in supporting major HR initiatives, including workforce planning and organizational effectiveness. This individual will build trust in TA's data, both in Avature and in the data lake, and translate that trust into a strategic understanding of the talent data ecosystem that strengthens TA's ability to meet business hiring needs and deliver on operational excellence.

This is not purely a technical role. It requires the business acumen and leadership presence to connect insights across the full candidate and employee lifecycle - bringing hiring, attrition, and internal mobility together - and to operate as a trusted advisor to TA leadership, shaping the questions as well as answering them. It also means bringing an external lens into TA: benchmarking Intuit's hiring funnel, forecasting approach, and recruiter productivity against industry standards, so TA's methods keep pace with where the broader market is headed. Working across the broader People Analytics team, you will partner on Talent Acquisition data products, analytics, and models combining hands-on analysis with the advisory judgment to turn findings into decisions.

Responsibilities
Data & Analytics Roadmap Design & Execution

  • Translate TA and business strategy into analytical problems, self-generating hypotheses from the data and validating or disproving them to produce recommendations that inform hiring and workforce decisions across multiple initiatives.
  • Develop, maintain, and socialize the Talent Acquisition Data & Analytics roadmap, reflecting a prioritized inventory of the current and upcoming work, and drive the business case for the investments it implies.
  • Define the metrics that hold TA and business leaders accountable for hiring strength and requisition governance, at the function level rather than the individual report level.
  • Combine insights, business acumen, and strategic considerations to influence Director-level and above stakeholders, translating complex analysis into a narrative leaders will act on rather than simply report against.
  • Connect insights across the candidate and employee lifecycle, bringing hiring, attrition, and internal mobility together into a single view.
  • Bring external analytics benchmarking and TA industry best practices into Intuit, so forecasting, funnel, and recruiter-productivity work is informed by where the broader market and competitors are heading, not only by internal history.
Strategy and Measurement for AI-Native Experiences

  • Ideate and scope AI use cases within Talent Acquisition by connecting industry-wide developments in AI with strategic insight, customer knowledge, and TA domain knowledge, from ideation through measurement.
  • Influence cross-functional partners in creating a development plan for those use cases, and define success metrics that connect model performance to hiring and business outcomes.
  • Provide thought partnership on phased testing and rollout of AI-native experiences, with the right measurement in place at each stage.
  • Drive requirements for scaled solutions including automated insights, dashboards, and reporting that support TA leadership, recruiters, HR, and Finance.
  • Own TA's data governance framework across Avature and the data lake, ensuring data quality, cleanliness, and readiness for AI and advanced analytics.
Inference and Algorithms

  • Build and evolve hiring forecast and funnel conversion models, applying predictive and causal inference techniques to identify trends, friction points, and opportunities to improve hiring outcomes.
  • Manage the end-to-end aspects of complex analytics model builds, from scope and requirements through stakeholder management and delivery, for work that drives function-level decisions.
  • Partner on recruiter capacity and productivity analytics, bringing recommendations that sharpen capacity planning and target-setting accuracy, and designing new models where the current approach leaves gaps.
  • Identify new methodologies and external trends and adapt them to TA use cases, creating shareable frameworks that clarify when and how a new approach should be used.
  • Collaborate across TA, People Analytics Research Team, Finance, and other stakeholders to share knowledge and build scalable, enterprise-ready solutions.


Qualifications
  • 8+ years of experience in People Analytics, including data science roles, with 5+ years supporting Talent Acquisition analytics.
  • Proven experience partnering closely with Talent Acquisition leadership to maintain an end-to-end analytics roadmap, and leading cross-functional analytics initiatives involving multiple stakeholders across HR, technology, and business.
  • Demonstrated expertise in building and interpreting hiring models, including predictive and forecast models, and applied experience with causal inference methods such as propensity score, difference-in-differences, or synthetic control, with clarity on when each applies.
  • Advanced SQL and fluency in Python or R, with genuine hands-on comfort with data wrangling and analysis.
  • Experience scoping and measuring AI-native experiences, with a clear approach to measurement at each stage of phased testing and rollout, and fluency in how model performance metrics connect to business outcomes.
  • Proven ability to partner with senior leaders as an advisor, with the judgment to determine how much analysis a decision requires and the credibility to stand behind a recommendation.
  • The judgment to connect hiring, attrition, and internal mobility signals into a single lifecycle view rather than treating TA analytics as a siloed function, and to know when a question calls for a deeper model versus a fast, directional read that unblocks a leadership decision.
  • Experience working with Avature or other related ATS systems.
  • Demonstrated ownership of data governance frameworks and data quality standards, including making an imperfect data source trustworthy and keeping it that way.
  • Passion for enabling data-driven, equitable people processes that foster growth and inclusion.


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may 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 ). 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:
Mountain View $210,500 - $284,500

About Intuit Inc

Intuit offers business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. The company’s product portfolio includes TurboTax, a software solution that offers free tax filing, efile taxes, and income tax returns; Quicken; QuickBooks; Mint.com, and more. It also offers end-to-end solutions for online tax preparation, download products, mobile tax prep, mortgage interest and property tax, corporations tax, military tax, and more. Intuit was founded by Tom Proulx and Scott Cook in 1983 and is based in Mountain View, California. The company serves customers in North America, Asia, Europe, and Australia with offices in the United States, Canada, India, U.K., and Singapore.

Intuit Inc Careers

Join the dynamic team at Intuit Inc, a global powerhouse in financial software, where innovation, leadership, and diversity training are at the heart of everything we do. This is an unparalleled opportunity to advance your career with a company that is committed to empowering communities and small businesses with innovative financial solutions.

Work You’ll Do

At Intuit Inc, you’ll be part of a culture that cherishes innovation and values the unique perspectives of its team members. You will collaborate with some of the brightest minds in the industry, using your skills to influence the future of technology and finance. Our team at Intuit Inc is driven by the mission to power prosperity around the world, and you can be at the forefront of this transformation.

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Intuit’s career paths are as diverse as the innovative solutions we provide to millions. From finance to software engineering, our job opportunities span across multiple disciplines. Whether you’re looking for a full-time position, an internship, or leadership roles, Intuit offers a world of opportunities for professional growth. Our hiring process is designed to identify and attract professionals who are not only skilled but are also passionate about making a difference.

Professional Development and Benefits

Invest in your future with Intuit’s industry-leading benefits and professional development opportunities. Our employees enjoy comprehensive benefits that ensure their personal and professional satisfaction, including health, wellness, and continuous learning perks. At Intuit, we also understand the importance of diversity training and leadership development, providing various programs that foster an inclusive environment.

Join Our Team

Embark on a journey of growth and innovation at Intuit Inc. Search open positions that match your skills and interests. We are looking for curious, creative, and solution-driven team players. Prepare your resume, ace the interview, and join a team that’s committed to creating solutions that power prosperity around the globe.

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Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Consumer Technology
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ
INTU
* Ladders Estimates

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