Staff Data Scientist

Job Description

• Join Credit Karma as a Staff Data Scientist - Data Science Ops, where you'll champion operational excellence across organizations, driving AI-powered innovation and collaboration. With a deep understanding of data science and machine learning workflows, you'll build and lead by example, fostering a culture of operational excellence. This highly cross-functional role requires strong partnerships with engineering, product, business, finance, and analytics teams, as well as mentorship skills, accountability, and the ability to navigate fast-paced environments with agility and poise. • Design and maintain systems, monitoring and alerting to detect anomalies and performance degradation of ML models; implement automation to streamline workflows • Support with model development and deployment to production, ensuring seamless integration with existing infrastructure • Develop and maintain dashboards and reports to provide insights into model performance and data quality • Investigate and resolve model-related incidents, including data quality issues and prediction errors • Design and implement cloud solutions (GCP) to containerize, deploy, version and monitor data science models • 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

Qualifications

• 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 GCP 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

Benefits

• 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