Data Scientist I: AI‑Driven ML & MLOps Trainee

Socket.dev; San Diego (CA); On-site; USD 85,000 - 120,000; Full time

Job summary

Mulligan Funding is seeking a Data Scientist I - Full Stack Management Trainee to advance ML development and model deployment on cloud infrastructure. You will work with senior leads to design experiments, build production-grade ML workflows, and contribute to scalable data science solutions across teams.

Join a fast-growing, AI-driven environment where hands-on model construction, evaluation, and deployment are the focus, with emphasis on modern MLOps practices and GitHub-based collaboration.

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.
• Ability to productionalize code using GitHub and manage 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 using GitHub, version control, and modern MLOps pipelines.
• Collaborate with data vendors to push data boundaries.

Skills

A/B testing

Experimental design

ML model development

Productionalize code

Education

Master's degree or higher in Mathematics/Statistics/Quantitative field

Tools

GitHub

MLOps pipelines

Job description

Mulligan Funding is seeking a Data Scientist I - Full Stack Management Trainee to advance ML development and model deployment on cloud infrastructure. You will work with senior leads to design experiments, build production-grade ML workflows, and contribute to scalable data science solutions across teams.

Join a fast-growing, AI-driven environment where hands-on model construction, evaluation, and deployment are the focus, with emphasis on modern MLOps practices and GitHub-based collaboration.