Staff Data Scientist

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

The Member Progress Data Science & AI team is focused on championing financial progress for our more than 130 million members globally. We want to understand members' financial situation and give them a path to financial success.

The team is on a mission to enhance the Credit Karma product by providing a personalized and relevant experience, through the application of machine learning and artificial intelligence solutions. We are looking for an innovative, experienced and hands-on Staff Data Scientist to join our effort to help Credit Karma members achieve their financial goals.

What you'll do:

• Provide technical leadership for the Member Progress Data Science & AI team by enhancing the impact of others and playing an active role in fostering a culture of ownership and autonomy.

• Partner with colleagues throughout the organization to identify high-impact opportunities to leverage and utilize data science models to best suit the business needs, including contributing to strategies which balance revenue and risk.

• Create detailed road maps to execute on those high impact initiatives, detail the steps in actionable tickets to be assigned to the team and own the execution.

• Lead engagement and revenue initiatives including complete hands-on ownership of the model lifecycle; success and key results at the program-level; and driving the technical strategy and strategic decisioning roadmap across all involved teams.

• Mentor team members to upscale their technical skills and participate in the creation of a highly functioning team.

• Contribute to the design and execution of a cohesive data strategy (evaluating, obtaining, accessing and optimally storing data) across all data users

• Contribute to the evolution of our data and machine learning infrastructure to improve efficiency and effectiveness of data science solutions

• Represent the team and Credit Karma in internal and external forums such as executive level presentations, conferences, speaking engagements and meetups, and act as a talent magnet and spokesperson in such forums.

• Research and implement practical and creative machine learning and statistical approaches suitable for our fast-paced, growing environment.

Minimum Basic Requirement:

• Advanced Degree (Ph.D. / MS) in Computer Science, Data Science, AI, Mathematics, Statistics, Physics or a related quantitative discipline

• 6-8+ years of experience in Data Science / Machine Learning and related areas

• Work experience with public cloud platforms (especially GCP), Apache airflow, Vertex AI, unsupervised machine learning

• Relevant work experience in machine learning techniques, including but not limited to, deep learning, tree-based models, reinforcement learning, clustering, time series, causal analysis, natural language processing

• Experience with embeddings and approximate nearest neighbors technology. This would include the application of such techniques in a production environment leading to measurable metrics improvement.

• Proficiency in deep learning ML frameworks such as TensorFlow, PyTorch, etc.

• Expertise in experimentation design, analysis and testing (AB testing, multi arm bandits); prioritization of layer space.

• Experience in operational excellence, model and data monitoring, anomaly detection.

• Ability to quickly develop a deep statistical understanding of large, complex datasets

• Expertise in designing and building efficient and reusable data pipelines and framework for machine learning models

• Authoritative knowledge of Python and SQL

• Strong business problem solving, communication and collaboration skills

• Results oriented, hardworking, team player, innovator and creative thinker

Preferred Qualifications:

• Exposure in Generative AI technologies and embedded LLM calls into in-app recommender system

• Experience in model explainability

• Experience in MLOps infrastructure and tooling

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 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:

• GDPR Privacy Policy
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