Sr. Data Scientist

| Greater LA Area | Hybrid
Sorry, this job was removed at 1:46 a.m. (CST) on Saturday, December 11, 2021
Find out who's hiring in Los Angeles, CA.
See all Data + Analytics jobs in Los Angeles, CA
Apply
By clicking Apply Now you agree to share your profile information with the hiring company.

Overview
A Sr. Data Scientist at PennyMac needs to be able to fulfill both the roles of the Data Scientist, analyzing data and building models, and the typical role of the Data Engineer - ETL. We have a massive amounts of data, and we have many projects that will improve the business' profitability and operations. The challenge for you, should you accept it, is to marry the two together. It is not an easy task. Building data pipelines and scrubbing data is a start, building start-of-the-art models is the middle, and implementing them so that our results improve the bottom line is the end game. Our goal is to be best in class in Machine Learning in the mortgage space.
Job Description

  • Help to understand the business problem and the objectives.
  • Support project leads to identify valuable data sources, and work with our IT team to collect such data
  • Build ETL data pipelines
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to discover trends and patterns
  • Utilize and implement machine learning models for data analysis
  • Present information using data visualization techniques
  • Propose data science solutions and strategies to business problems
  • Ensure solutions are feasible to implement and achieve the business' objectives
  • Demonstrate behavior aligned with the organization's desired culture and values

Ideal Candidate will have the following:

  • BS/MS in Computer Science, Engineering, Applied Math or related discipline; graduate degree in Data Science or other quantitative field is desirable
  • Prior experience as a Data Scientist
  • Relevant coursework or project experience utilizing modeling techniques such as logistic regression, Naïve Bayes, SVM, decision trees, or neural networks
  • Strong understanding of algorithms and data structures
  • Strong proficiency with R, SQL, Snowflake and Python including the Tensorflow, Keras, and XGBoost libraries
  • Strong knowledge of database systems, data modeling, ETL tools, data APIs, and data warehousing solutions
  • Experience implementing ways to improve data reliability, efficiency, and quality
  • EMR experience such as Spark, AWSGlue, Dask, and Hadoop
  • Experience with Docker, ECR, and Kubernetes a plus
  • Advanced experience with MS Office and Google Suite
  • Strong quantitative, math, and problem solving skills

Years of Experience:
2Education:
Bachelor's Degree

Read Full Job Description
Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.

Similar Jobs

Apply Now
By clicking Apply Now you agree to share your profile information with the hiring company.
Learn more about PennymacFind similar jobs