Head of AI Chief Data Scientist


Oportun is hiring a
Remote 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   nn#Salary and compensationn
No salary data published by company so we estimated salary based on similar jobs related to Design, Math, Scala, Marketing and Digital Nomad jobs that are similar:nn
$60,000 — $130,000/yearn
nn#LocationnRemote – US