Data Science Engineer, Professional (AWS)
Data Science Engineer, Professional (AWS)
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Job Description
At Freddie Mac our mission of Making Home Possible is what motivates us and its 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:
Our team builds and manages the AWS infrastructure that supports Model (ML) development across the company. Our platforms run on Kubernetes and leverage AWS tooling to provide highly scalable and dynamic platform features used by data scientists daily. You will directly drive the results for the team and own components of the platform from design through deployment.
Our Impact:
Our platforms are used across all business lines for Data Science development and deployment work as well as data exploration. This team is highly visible and works directly with emerging AI and ML technologies.
Your Impact:
You will design develop and own product solutions from start to finish. On a day-to-day basis you will interact with data scientists to identify issues and new product solutions. You will continually be researching and testing new AI/ML tools and procedures to offer to offer to the wider company.
Qualifications:
Bachelors 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);
2-44 years of experience deploying application solutions;
3 years of developing experience with REST APIs;
3 years of experience with code repository GIT and Bitbucket; and
Demonstrated knowledge of software design principles.
Keys to Success in this Role:
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
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 orientation gender identity/expression physical and mental disability pregnancy ethnicity genetic information or any other protected categories under applicable federal state or local laws. We will ensure that individuals 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.
A safe and secure environment is critical to Freddie Macs business. This includes employee commitment to our acceptable use policy applying a vigilance-first approach to work supporting regulatory mandates and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
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 and register with our referral code: MAC.
Time-type:Full timeFLSA Status:ExemptFreddie 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 $103000 - $155000 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.Required Experience:
Unclear Seniority
Employment Type
Full-Time
