Data Scientist I — AI-Driven ML & MLOps Trainee

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

Job summary

Mulligan Funding is expanding its AI-driven data science team in San Diego to accelerate machine learning development and deployment. You will build models, design experiments, and operationalize data science code on cloud infrastructure, contributing to high‑impact production systems.

You will collaborate with engineering and data science leads to own model construction, experimental design, and productionalization, while leveraging modern MLOps practices to ship reliable ML features and

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, version control, and modern MLOps pipelines.
• Work with data vendors in pushing data boundaries.

Skills

A/B testing

Experiment design

ML model development

Education

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

Tools

GitHub

MLOps pipelines

Job description

Mulligan Funding is expanding its AI-driven data science team in San Diego to accelerate machine learning development and deployment. You will build models, design experiments, and operationalize data science code on cloud infrastructure, contributing to high‑impact production systems.

You will collaborate with engineering and data science leads to own model construction, experimental design, and productionalization, while leveraging modern MLOps practices to ship reliable ML features and