Freddie Mac

At Freddie Mac, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation.

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.

Today, Freddie Mac makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full time

FLSA Status:Non-Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $71,000 - $107,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.