Data Science Engineer, Professional (AWS)

McLean, VA

Full-time

Onsite

$103K/yr - $155K/yr

Entry, Mid Level

Freddie Mac is dedicated to making home possible for millions of families across the country. The Data Science Engineer will design, develop, and manage AWS infrastructure to support machine learning development, while collaborating with data scientists to enhance product solutions and explore new AI/ML technologies.

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Responsibilities

Design, develop and own product solutions from start to finish.
Interact with data scientists to identify issues and new product solutions.
Research and test new AI/ML tools and procedures to offer to the wider company.

Qualification

Required

Bachelor’s degree in Computer Science, Engineering (any field), Information Technology Management, or related discipline
2-4 years of progressively responsible experience in a software engineering occupation
2-4 years of experience working with Java, JavaScript, python, HTML and CSS
2-4 years of experience working with Cloud Technologies (AWS, Kubernetes, Docker, or similar container technologies)
2-4 years of experience deploying application solutions
3 years of developing experience with REST APIs
3 years of experience with code repository GIT and Bitbucket
Demonstrated knowledge of software design principles

Preferred

Demonstrate a strong desire to learn new technologies and tools in the AI/ML space
Quickly identify solutions to issues raised by Data Scientists
Have a strong understanding of the varies AWS components needed to run AI/ML infrastructure
Ability to help junior team members grow their knowledge and abilities