Data Scientist I — ML, MLOps & Production Pipelines

Mulligan Funding, LLC; San Diego (CA); On-site; USD 90,000 - 107,000; Full time

Job summary

Mulligan Funding, LLC, headquartered in San Diego, seeks a Data Scientist I - Full Stack Management Trainee to advance machine learning development and MLOps on cloud infrastructure. You will contribute to model construction, experimentation, and code deployment in production environments.

Join a growing team applying AI-driven decisioning to accelerate small business lending, with hands-on experience across data science, engineering, and operations within a modern tech stack.

Qualifications

• Master's degree or higher in Mathematics, Statistics, or a Quantitative field.
• Hands-on experience with A/B testing methodologies and experimental design.
• Proven experience building ML models and exposure to MLOps principles.
• Ability to productionalize code using GitHub and manage code versioning.

Responsibilities

• Assist in constructing, testing, and deploying machine learning models.
• Design and evaluate experimental designs and A/B testing methodologies.
• Productionalize data science code utilizing GitHub and modern MLOps pipelines.
• Work with data vendors in pushing data boundaries.

Skills

ML model development

MLOps

A/B testing

GitHub / version control

Education

Master's degree or higher in Mathematics, Statistics, or a Quantitative field

Tools

GitHub

Job description

Mulligan Funding, LLC, headquartered in San Diego, seeks a Data Scientist I - Full Stack Management Trainee to advance machine learning development and MLOps on cloud infrastructure. You will contribute to model construction, experimentation, and code deployment in production environments.

Join a growing team applying AI-driven decisioning to accelerate small business lending, with hands-on experience across data science, engineering, and operations within a modern tech stack.