Oportun: Head of AI Chief Data Scientist

Responsibilities - Responsible for owning and driving Oportun's AI strategy - Build and deliver a comprehensive AI/ML roadmap for Oportun’s customer base from brand awareness, marketing and origination to customer care that will engage customers and maintain long customer relationships across Oportun’s products - Partner with business leaders and product managers in problem framing and conceptualization of ideas, develop consensus, and execute on a prioritized AI/ML roadmap for various use cases - Lead, build and mentor data science team that solve business problems leveraging AI/ML - Oversee all phases of AI/ML development, from design, data gathering, training, validation and implementation - Expand the use of dynamically updated AI/ML models - Actively identify and manage model risks in line with model risk management policies - Manage a suite of data science tools/platforms (i.e., Jupyter Notebook), pipelines and reusable code that maximizes productivity and knowledge sharing across the data science team - Partner with data engineers to build a continuous data capture service leveraging AWS Kinesis and expand feature store to include new families of data and real-time streaming data - Collaborate with data and machine learning engineers to design and develop scalable machine learning systems (i.e., building a model execution service leveraging MLflow and SageMaker) to improve speed to market and operate with scale in production. - Partner with a cross-functional team of data engineers, machine learning engineers and product managers to launch AI/ML solutions into production - Create automated AI and model performance monitoring that aligns with model risk management policy Qualifications - 5-10 years of experience leveraging cloud-based machine learning, data infrastructure and automation to deliver AI/ML driven solutions to solve business problems - Master’s or Ph.D. in Math or Technology (computer science, computer engineering, economics, applied math, statistics, engineering, or other quantitative fields) - 5-10 years of experience building and managing high performing data science teams including recruitment, career development, mentoring and talent management. Ability to build a large international data science team across multiple time zones. - 5-10 years of experience in leveraging modern machine learning toolset and programming languages such as Python, R or Scala - Proven reputation as a highly credible and collaborative partner to business leaders, engineering, and product management teams - 5-10 years of experience leveraging various machine learning algorithms (e.g., Gradient Boosting, Random Forest, Bayesian Optimization, neural networks, etc.) - A relentless problem solver and out of the box thinker with a proven track record of driving business results - Comfortable in a high-growth, dynamic, fast-paced and agile environment - Excellent verbal and written communication skills and the ability to work well with executives and to collaborate cross-functionally and lead through influence across functional and organizational lines PREFERRED/NICE-TO-HAVE SKILLS/EXPERIENCE - Experience with financial systems, payment systems and/or credit decisioning systems, preferably in loans or similar products. #LI-DNI

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Veröffentlicht 19 Dec 2022, 11:40 am

Head of AI Chief Data Scientist bei Oportun

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