Staff Data Scientist

Job Description

• Provide technical leadership for the Member Progress Data Science & AI team by enhancing the impact of others and fostering a culture of ownership and autonomy • Partner with colleagues throughout the organization to identify high-impact opportunities to leverage data science models • Lead engagement and revenue initiatives including hands-on ownership of the model lifecycle • Mentor team members to upscale their technical skills • Contribute to the evolution of data and machine learning infrastructure • Research and implement practical and creative machine learning and statistical approaches • Represent the team and Credit Karma in internal and external forums • Contribute to the design and execution of a cohesive data strategy across all data users

Qualifications

• 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

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