Data Scientist Senior

Employer
Freddie Mac
Location
McLean, VA
Salary
Competitive
Posted
Mar 13, 2019
Closes
Apr 12, 2019
Ref
11315BR
Function
Analyst
Hours
Full Time
As a Data Scientist on the Collateral Modeling and Analytics team at Freddie Mac, you will join a group of skilled professionals who use data science to solve important business problems. You will apply statistical and machine learning techniques to build tools that will be used daily to make decisions about the collateral underlying the mortgages in Freddie Mac's portfolio. You will make efficient use of distributed computing technologies with the latest structured and unstructured big data available.

Primary Category of Work
* Maintaining, developing and executing existing analytical tools and models
* Applying statistical and machine learning techniques to address business and modeling questions
* Analyzing, documenting and communicating research results
* Collaborating with team members and interacting across organizational lines to achieve business objectives
* Stay abreast of trends in data science

Qualifications

* Doctorate degree (or Master's degree with equivalent work experience) in statistics, data science or a related quantitative field.).
* Coursework or work experience applying predictive modeling techniques from data science, statistics, machine learning, and econometrics to large data sets. Qualifying coursework may include-but is not limited to-data science, statistics, machine learning, optimization, numerical analysis, scientific programming, computational methods, supervised learning, unsupervised learning, text mining, and image analysis.
* Coursework or work experience writing computer programs to implement data science pipelines and predictive algorithms. Programming languages may include-but are not limited to-Python, R, SQL, Java, SAS, and MATLAB.
* Coursework or work experience using technologies for manipulating structured and unstructured big data. Big data technologies may include-but are not limited to-Hadoop, Hive, Pig, Spark, relational databases, and NoSQL.

Key to Success in This Role
* Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms
* Solid oral and written communication skills. Ability to pitch and storyboard a project.
* Exceptional quantitative, empirical analysis, and research skills
* Positive and independent thinking

Top 3 Personal Competencies to Possess
* Drive for Execution - Focus on results rather than the appearance of results
* Seek and Embrace Change - Continuously improve work processes rather than accepting the status quo
* Growth and Development - Know or learn what is needed to deliver results and successfully compete

Preferred Skills

* Programming experience with R or Python Machine learning libraries
* Programming experience on Spark and Hadoop
* Programing experience with SAS statistical and data procedures and SQL
* Project management experience with GIT
* Experience using Linux and/or Unix
* Experience with and/or training in text mining for predictive analytics and image processing
* Knowledge of Mortgage industry

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. Freddie Mac is an equal opportunity and top diversity employer. EOE, M/F/D/V.

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