The work:

Apply statistics, machine learning and analytic approaches to answer key intelligence questions, producing results and re-usable products that provide real value to Analysts. Develop and refine data sets to achieve stakeholder goals and objectives as requested. Work with analysts to interpret analytic results and refine analysis as needed. Apply machine learning techniques to identify and transform data features, find hidden patterns and trends, build and optimize classifiers, create automated anomaly detection systems, and automate steps of processes. Evaluate statistical models to determine the validity of analyses, implement evaluated models into production by collaborating with software developers, periodically re-evaluate and refine machine learning models being used in production.

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Qualifications

Here's what you need:

Proficiency with ETL to program software that transforms data

Experience with one of the following tools: Apache NiFi, Informatica, Talend, AWS Glue, SQL Server Integration Services

US Citizenship, dual citizens not eligible

Bonus points:

Associates or Bachelor's degree in Computer Science

Experience in an AWS Development Environment

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