Data Scientist I - Full Stack Management Trainee
✨ AI Summary
Mulligan Funding, a San Diego-based provider of working capital to small and medium businesses, is hiring a Data Scientist I - Full Stack Management Trainee to build, deploy, and productionalize machine learning models. Tech stack includes GitHub, version control, MLOps pipelines, and cloud infrastructure. Requires a Master's degree or higher in Mathematics, Statistics, or a quantitative field, plus hands-on experience with A/B testing, experimental design, ML model building, and MLOps principles. This is an entry-level trainee role with no salary or remote policy mentioned.
At Mulligan, we are transforming small business lending by replacing legacy processes with fast, intelligent, AI-driven decisioning. Backed by 18 years of proprietary credit data and deep risk expertise, our production-grade AI agents are already running in active credit and underwriting workflows. As we expand this AI-first approach across Sales, Customer Lifecycle, Finance, and Capital Markets, we offer an uncommonly rich environment for emerging data scientists.
By stepping directly into the center of these efforts, you won't just observe modern machine learning—you will gain hands-on experience with advanced, industry-leading tools and complex technical architectures while contributing directly to our mission of scaling AI across the organization.
The Data Scientist I - Full Stack Management Trainee role focuses on machine learning development, model deployment, and MLOps. Working alongside senior engineering and data science leads, you will take ownership of model construction, experimental design, pipeline development, and code productionalization on cloud infrastructure, making an immediate impact on our production systems.
You will:
Qualifications & Requirements
About the Company
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