Intuit Inc

Senior Staff Data Scientist - Credit Karma Engagement

Intuit Inc • $210K — $284K *
Oakland, CA 94601In-Person
Consumer Technology
8 - 10 years of experience
Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 9+ years in data science and analytics with proven strategic impact across multiple initiatives; fintech experience preferred.
  • Experience in membership-based platforms focusing on personalization and cross-product engagement is beneficial.
  • Ability to convert ambiguous business strategies into actionable analytical frameworks through first-principles thinking.
  • Proficient in designing complex experiments and applying advanced causal inference methods beyond basic A/B testing.
  • Strong expertise in customer segmentation, experimentation design, and balancing statistical rigor with business needs.
  • Familiarity with lightweight Machine Learning for building classification and regression models.
  • Experience creating methodologies and frameworks adopted by wider analytics teams.
  • Outstanding communication skills with a record of influencing senior leadership across functions.
  • Ability to operate in fast-paced environments with minimal guidance and make swift data-driven decisions.
  • Proficient in AI-native tools for comprehensive analysis across various business scenarios.

Responsibilities

  • Set data science strategy for Credit Karma's engagement and lifecycle initiatives, covering the member lifecycle from activation to retention.
  • Influence senior leaders across departments by integrating insights, business acumen, and cross-functional knowledge.
  • Identify and adapt new methodologies in ML and causal inference for practical application in engagement and churn prevention.
  • Drive a culture of experimentation by designing and implementing various complex experiment types and utilizing causal inference methods.
  • Analyze member behavior patterns and create effective segmentation strategies to improve targeting and personalization.
  • Collaborate with teams to co-create analytics and AI strategies, ensuring measurement and ethical considerations are prioritized.
  • Mentor and develop fellow Data Scientists while maintaining high scientific standards and best practices.

Benefits

  • Competitive compensation package with performance-based rewards.
  • Eligibility for cash bonuses and equity rewards.
  • Comprehensive benefits including health and wellness programs.
  • Commitment to equitable pay through regular comparisons across ethnicity and gender.
Full Job Description
The team is seeking a Sr. Staff Data Scientist to serve as an analytical leader & strategic thought partner to our Engagement product team, responsible for building value-driven features and experiences that drive long-term member retention. This is a high-impact, cross-initiative role where you will set the analytics vision, raise the scientific bar across the team, and influence product and customer lifecycle strategy across Credit Karma's business.

Responsibilities

  • Set strategy across initiatives: Set data science strategy across Credit Karma's engagement and lifecycle product initiatives to evaluate the member lifecycle end to end, from activation and habit formation through retention, churn prevention, and reactivation.
  • Influence senior leadership: Combine insights, business acumen, strategic considerations, and industry-wide learnings to influence cross-functional leaders up to the VP level; act as the connective tissue across Product, Marketing, Engineering, and Design.
  • Advance the science: Identify new ML and causal inference methodologies and external trends, adapt them to engagement, lifecycle, and churn-prevention use cases, and create shareable frameworks that enable adoption across the BU, with clarity on when and how each methodology should be used to drive business value.
  • Lead experimentation at scale: Drive an iterative experimentation culture across the team by designing complex experiments (A/B/n, painted-door, bandits, and quasi-experimental designs) and applying causal inference (Propensity Score, DiD, Synthetic Control where A/B testing capability is limited).
  • Build durable segmentation & member understanding: Identify key patterns in member behavior by connecting insights across a portfolio of experiments and analyses; create durable member segmentation strategies that enhance targeting, personalization, and the in-product experience.
  • Shape the AI-native roadmap: Co-create the analytics/AI strategy for engagement and lifecycle in partnership with cross-functional teams; guide phased testing and rollout with the right measurement, safety, risk, and ethical considerations; connect model performance metrics to member and business outcomes.
  • Raise the bar & develop talent: Mentor and elevate Data Scientists across the team, set scientific standards and best practices, contribute to calibrations and hiring, and scale yourself through delegation while remaining hands-on in the highest-leverage areas.


Qualifications

We're looking for a curious, proactive, and influential data science leader with a passion for driving member engagement and retention.
  • 9+ years of experience in data science and analytics, with a track record of driving strategy and impact across multiple initiatives or business units; experience in consumer product engagement, retention, or growth strongly preferred, fintech experience a plus.
  • Experience in consumer platforms with a membership-based or multi-product ecosystem, where personalization and cross-product engagement drive long-term retention, is a plus.
  • Demonstrated ability to apply first-principles thinking to translate ambiguous business strategy into analytical problems at the business-unit level.
  • Proven success designing and interpreting complex experiments well beyond traditional A/B testing, and applying causal inference where experimentation is constrained.
  • Deep expertise in causal inference, customer segmentation, and experimentation design, with the judgment to balance statistical rigor and business considerations.
  • Exposure to lightweight Machine Learning in terms of being able to build offline classification & regression models to inform business decisions.
  • Experience creating reusable frameworks, methodologies, and toolkits that are adopted by a broader analytics community.
  • Exceptional communication and stakeholder-influence skills, with a demonstrated ability to influence Director- and VP-level leaders across business and technical teams.
  • Ability to navigate ambiguity with minimal guidance, make fast data-driven decisions (one-way vs. two-way door), and operate effectively in a fast-paced, dynamic environment.
  • Ability to use AI-native tools to plan, implement, and synthesize analyses across a variety of use cases ranging from experiment readouts, quasi-experimental methodology, retention/churn deep dives, and measuring the success of feature launches.
  • BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field (advanced degree preferred).


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:
Oakland $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.

Explore Job Opportunities and Growth

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.

Networking and Career Advancement

At Intuit Inc, networking and internal mobility are encouraged to foster professional growth and innovation. Connect with leaders and peers through our various networking events, mentorship programs, and collaborative projects. With support at every step of your career, the opportunities at Intuit are limitless.

Stay Connected

Keep up to date with the latest in career opportunities and company news at Intuit Inc. Personalize your subscription to receive job alerts, insider tips, and industry-leading insights that you can put to use today—all from the people who work here.

Explore Careers at Intuit Inc

Discover the exciting and rewarding career opportunities awaiting you at Intuit Inc. Let your ambition lead you to success. Join us in our mission to power prosperity and contribute to our journey of continuous innovation.

SEARCH INTUIT JOBS

READ CAREERS BLOG

At Intuit Inc, every role is a chance to innovate, grow, and make an impact. Join us, and together let's shape the future of finance.
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

Similar Jobs

Ad banner background

Get Ready For Your
Next Interview

More Jobs at Intuit Inc

More Consumer Technology Jobs

Find similar Senior Staff Data Scientist - Credit Karma Engagement jobs:

NationwideOakland, CA