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 Oportunโs customer base from brand awareness, marketing and origination to customer care that will engage customers and maintain long customer relationships across Oportunโs 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 - Masterโs 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 \n\n#Salary and compensation\n
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:\n\n
$60,000 — $130,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nRemote - US
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