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

Join Credit Karma as a Staff Data Scientist - Machine Learning Ops, where you'll champion operational excellence across data and engineering organizations, driving AI-powered innovation and collaboration. With a deep understanding of data science and machine learning ecosystems, you'll build and lead elegant monitoring, alerting, and operational solutions, fostering a high performing culture of operational excellence. This highly cross-functional role requires building strong partnerships with engineering, product, business, finance, and analytics teams, as well as mentoring AI team members, setting clear accountability, and navigating fast-paced environments with agility and poise.

What You’ll Do:

  • Design and maintain systems driving ML ecosystem health, such as monitoring and alerting to detect anomalies and performance degradation of ML models, balancing automated tooling with human actionability 
  • Develop and maintain dashboards for stakeholder reporting in order to provide insights into model performance, data quality, and data incidents
  • Immediately investigate and lead teams to quickly resolve any model- or data-related incidents, such as data quality issues and prediction errors
  • Collaborate and communicate effectively with data scientists, engineers and architects on model validation, testing, and quality assurance
  • Document processes and best practices, and lead training sessions to upskill data scientists in Data Science Ops, promoting ops excellence and continuous learning
  • Design and implement cloud solutions (GCP) to containerize, deploy, version, and monitor data science models in production

Minimum Basic Requirement:

  • Bachelor's or graduate degree in Computer Science, Software Engineering, or a related quantitative field (such as engineering, machine learning, data science, operations research, or economics) with a minimum of 8 years of industry experience
  • Expertise in cloud computing, with hands-on experience using GPC or similar services
  • Prior DS Ops or ML Ops experience, with a proven track record of success
  • Expertise in monitoring and alerting tools, such as PagerDuty, with experience designing and managing alerting systems to ensure optimal model performance and data quality
  • Ability to collaborate effectively across functions and with diverse stakeholders, including data scientists, engineers, analysts, and finance teams, in mid- or large-scale companies
  • Strong communication skills, with the ability to articulate complex technical concepts and solutions to both technical and non-technical audiences

Preferred Qualifications: 

  • Strong programming skills in SQL, Python, and Scala, with experience with ML frameworks like scikit-learn, Keras, PyTorch, and TensorFlow
  • Proficiency with DS / ML Ops frameworks like Airflow, Kubeflow, MLFlow or similar
  • Cloud solution design and implementation expertise, with experience building DS / ML Ops pipelines on GCP

Benefits at Credit Karma includes:

  • Medical and Dental Coverage
  • Retirement Plan
  • Commuter Benefits
  • Wellness perks
  • Paid Time Off (Vacation, Sick, Baby Bonding, Cultural Observance, & More)
  • 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 range for this role is $331,066 - $368,400, 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 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:

Apply for this Job

* Required

resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)

Enter the verification code sent to to confirm you are not a robot, then submit your application.

This application was flagged as potential bot traffic. To resubmit your application, turn off any VPNs, clear the browser's cache and cookies, or try another browser. If you still can't submit it, contact our support team through the help center.