Data Science Engineer, Associate

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

Position Overview

Are you a data science engineer that has a passion for enabling data-driven decision making and data-driven action? Does the opportunity to collaborate across an enterprise with internal and external team member sound appealing for your next career move? Then read on!

Our Impact:

In Freddie Mac’s Infrastructure Engineering organization, we are growing a governance and support team that delivers everything from hybrid cloud service solutions to quick-turn software automation to make sure Freddie Mac infrastructure is secure, safe, sound, and performant at the right price daily. We are looking for energized talent ready to make a difference and help us continually set a standard on performance to Make Home Possible.

Your Impact:

In this role you will create the next-generation of enterprise-grade infrastructure management data-driven solutions while refining existing infrastructure data-driven management solutions.

We deliver results by building modeling, predictive analysis, data acquisition, data pipelines, & technical business solutions. You will maintain existing and build new data products and services. We optimistically anticipate you will help us breathe life into economic and business with impactful skills and knowledge!

Qualifications

• 1-2 years of technical engineering experience with more than one of the following coding languages, packages, and platforms: Python, R or equivalent experience

• 1-2 years of professional (non-intern) experience building enterprise-grade data solutions in the AWS Cloud

• 1-2 years of experience with Linux bash shell script and open to using power shell on Microsoft systems

• In depth work completed Tableau(preferred), Power BI, or native code equivalents

• Bachelor’s Degree in data science, mathematics, physics, computer science, engineering, or related technical field or equivalent experience preferred.

• Experience in delivering results in agile customer-centric culture

• Exceptional skills with data visualization, data presentation data modeling, and data analysis. Able to quickly discern and focus on what data and analysis should be prioritized

• Comfortable with GIT repositories, organisational change, and version control

• Hands on experience with design, coding, testing, problem solving, and debugging in any language

• Experience delivering well received design and architecture documents

• Exceptional writing and communications skills in

• Outstanding communications skills particularly with respect to learning and empathizing with customer use cases and then explaining the value of complex technical analysis and how customers will benefit from data-driven decisions to assure adoption

• Willingness to travel at least 10% of the time

Keys to Success in the Role

• DevOps' experience developing innovative and practical AWS cloud application with Python

• Advanced degree or equivalent experience in Computer Science or related technical fields

• A strong background in risk management with a willingness to get regulatory compliance activities complete and accurate every-time.

• Experience with data privacy and cybersecurity with familiarity with application security including AWS security

• Experience with Red Hat Enterprise Linux (RHEL) and related services with proficiency in Ansible

• Experience with GitHub + Open AI coding environments

• You have certifications, degrees, or successful service launches that verify your expertise and skills where it matters most

• Strong quantitative background

• Experience with machine learning, statistics, programming languages, and exposure to artificial intelligence

• Understanding of cloud infrastructure

• Ability to work with multiple data sources

• Ability to acquire data using API integration, scraping, SQL, NoSQL queries, & acquired skills

• Ability to identify and evaluate competing models

• Embody our culture and values

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual ori