Quantitative Analytics Professional - Data Scientist (Hybrid Work Schedule)

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Are you looking for an opportunity to put your technical skills to use working on advanced modeling challenges? Freddie Mac’s Modeling, Econometrics, Data Science & Analytics Department is currently seeking a Quantitative Analytics Professional who will be responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’ business. Apply now and learn why there’s #MoreAtFreddieMac!

Our Impact:

• Our team is responsible for developing underwriting and credit scoring models that involve data analytics and data science projects.

Your Impact:

• Use statistical, machine learning and deep learning techniques to develop models, model performance monitoring reports and model implementation.
• Make efficient use of distributed computing technologies including Hadoop, Spark, HIVE and others to utilize structured and unstructured big data available.
• Collect, manipulate, and analyze large volumes of data from a variety of sources and structures.
• Research latest and emerging techniques and create proof-of-concept projects showcasing benefits and improvements.
• Design rich data visualizations to communicate and present complex ideas. Present research results to both technical and non-technical audiences.
• Write documentation to explain modeling techniques and analytical decisions and comply with model oversight.
• Develop methodologies for data validation and data quality control.

Qualifications:

• 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.
• Experience using Unix, Hadoop and related technologies (Spark, Hive, etc.) as well as statistical and machine learning libraries such as scikit-learn, MLlib and Tensorflow is preferred.

Keys to Success in this Role:

• Effective interpersonal skills including the ability to collaborate successfully with other team members.
• Exceptional quantitative, empirical analysis, and research skills.
• Strong desire and ability to learn new big data and machine learning technologies.
• Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms.

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.