Collaborate with data scientists to ensure data is accurately extracted, transformed, and loaded for analysis and decision-making
Effectively collaborate and partner with various Scores stakeholders to deliver data driven solutions that support strategic Scores initiatives
Ability to analyze, interpret, and manipulate large data sets to support analytic research and model development efforts
Ability to deliver high level results supporting business-critical projects within expected timelines
Use internal technologies in the development, maintenance and improvement of tools and processes to help solve challenging business problems in predictive analytics
Support our existing code base and the overall analytic SDLC
Demonstrate self-initiative and innovation by writing new code to continuously evaluate and improve existing code base
Apply advanced data transformation techniques to optimize the processing of large datasets
Work closely with the data scientists and other data engineers in constructing the best methodologies in generating new tools, code and datasets based on project requirements

Requirements

BS degree in Computer Science, Engineering, Information Technology, Management Information Systems (or equivalent work experience)
Prior/current experience working with U.S. Credit Bureau data (Preferred)
Proven programming skills in Python (Highly Preferred), Java/Groovy, Perl and/or Shell scripting
Demonstrated expertise utilizing Linux (RedHat) and Windows operating systems
Expertise in AWS services- SageMaker, Jupyter Notebooks, S3, Athena, Python (AWS Certifications are a plus)
Proven expertise analyzing large datasets and applying data-cleaning techniques along with strong data wrangling skills and experience working with big data technologies
Strong team-player with great communication skills
High proficiency with VS Code and notebook interfaces such as Jupyter
Adept at translating business problems into executable code
Ability to use statistical software and data manipulation tools for purposes of data quality evaluation
Highly detailed and demonstrates the ability to execute a given process with meticulous precision
Proficient in auditing results with a critical level of accuracy and detail
Experience working with big data technology (Spark, Hadoop, etc.)
Familiarity with relational databases (Oracle, mySQL, etc)
Familiarity with Eclipse IDE
Familiar with version control tools like GitHub or Bitbucket.

Benefits

Highly competitive compensation
Benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonJavaGroovyPerlShell scriptingLinuxWindowsAWSSparkHadoop

Soft Skills

communicationteam playerself-initiativeinnovationattention to detailanalytical skillsproblem-solvingcollaborationdata wranglingexecution precision

Certifications

AWS Certifications