Director II, Data Science

Oakland, CA

Credit Karma

See your free credit scores, reports and personalized tips and tools to help you achieve your financial goals. Start making progress today.

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Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 130 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* -- all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London and New York City.
*Banking services provided by MVB Bank, Inc., Member FDIC

Credit Karma is looking for a seasoned Director II of Data Science who is passionate about applying machine learning to solve financial problems for our millions of members, can effectively manage and scale data scientists and managers to drive a meaningful portion of Credit Karma’s revenue - while building an organizational culture of operational excellence. Data Science plays a ubiquitous role in Credit Karma’s product, serving as the foundation for core machine learning capabilities that drive monetization, personalization, and a value-centric experience for our members. As such, this role is highly cross-functional and requires tight partnerships with a wide range of functions - including engineering, product, business, finance and analytics. 

The ideal candidate has a proven track record of building and scaling AI-powered monetization strategies, while leveraging ML operational excellence to drive growth. They will possess exceptional leadership skills, capable of effectively collaborating with senior executives and navigating competing priorities in a fast-paced, high-pressure environment with poise and agility.

What you’ll do:

  • Partner with Engineering, Product, and cross-functional teams to inform, influence, support, and execute strategy and the roadmap for the existing and emerging AI space at Credit Karma
  • Shape the short and long-term technical vision and strategy for current and new ML capabilities to drive revenue, member engagement and member value at scale
  • Direct and manage the activities and personnel of Credit Karma’s Data Science organization including hiring, training, talent development and performance management
  • Develop understanding of large scale AI systems, their operational maturity, as well as broader industry challenges, to identify present and future risks and opportunities
  • Inspire, lead and scale a team of data scientists and managers across multiple teams in close collaboration with other Data Science Directors and Managers
  • Exhibit intellectual curiosity, intrinsic drive, decisiveness, and resilience with ambiguity and complexity

Minimum Basic Requirement:

  • MS / PhD in a quantitative discipline (e.g., engineering, machine learning, data science, operations research, economics) with 8+ years experience 
  • Prior Director of Data Science, Machine Learning or similar experience
  • Experience with working cross-functionally and with multiple stakeholders, including Engineering, Product, Analytics and Finance at mid- or large-scale companies
  • Strong communication skills

Preferred Qualifications: 

  • Experience with driving monetization through AI
  • Experience working on large scale AI systems with applications across machine learning and generative AI, AI infrastructure, operationalization and A/B testing 
  • Ability to balance fast paced environments at a large scale company
  • Ads business and product experience

Benefits at Credit Karma include:

  • Medical and Dental Coverage
  • Retirement Plan
  • Commuter Benefits
  • Wellness perks
  • Paid Time Off (Vacation, Sick, Child Bonding, Cultural Observance, Birthday)
  • Education Perks
  • Paid Gift Week in December

Pay Transparency Notice: Credit Karma’s mission of championing financial progress for all starts from within. That’s why we implemented role-based compensation, which ensures people who are in the same role receive the same pay with variations for geographic location only. It’s all part of a more comprehensive DEI strategy that helps level the playing field. The base salary for this role is $405,725, plus equity and benefits.

Equal Employment Opportunity:

Credit Karma is proud to be an Equal Employment Opportunity Employer. We welcome all candidates without regard to race, color, religion, age, marital status, sex (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity or gender expression, national origin, veteran or military status, disability (physical or mental), genetic information or other protected characteristic. We prohibit discrimination of any kind and operate in compliance with applicable fair chance laws. 

Credit Karma is also  committed to a diverse and inclusive work environment because it is the right thing to do. We believe that such an environment advances long-term professional growth, creates a robust business, and supports our mission of championing financial progress for everyone. We offer generous benefits and perks with a single eye to nourishing an inclusive environment that recognizes the contributions of all and fosters diversity by supporting our internal Employee Resource Groups. We’ve worked hard to build an intensely collaborative and creative environment, a diverse and inclusive employee culture, and the opportunity for professional growth. As part of the Credit Karma team, your voice will be heard, your contributions will matter, and your unique background and experiences will be celebrated.

Please contact candidate.support@creditkarma.com if you are interested in employment with Credit Karma and need special assistance or an accommodation to either apply or interview for a specific role.

Privacy Policies:

Credit Karma is strongly committed to protecting personal data. Please take a look below to review our privacy policies:

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Tags: A/B testing Banking Economics Engineering Finance Generative AI Machine Learning ML infrastructure PhD Privacy Research Testing

Perks/benefits: Career development Equity Flex vacation Health care Insurance Startup environment Team events Transparency Wellness

Region: North America
Country: United States
Job stats:  3  4  0

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