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GovCIO is currently seeking a Technical Data Scientist/ETL Engineer to join our ETL Team, which is dedicated to ingesting and visualizing data from various cloud sources while alerting on deviations from normalization. This position is fully remote, allowing for flexibility while contributing to impactful projects. The successful candidate will be responsible for developing, inspecting, mining, transforming, and analyzing data to create both descriptive and predictive models that enhance productivity and decision-making processes, ultimately providing strategic mission impact. In this role, you will apply data wrangling tools, including ETL and ELT processes, along with programming languages to collect and blend data from operational and relevant external systems. You will engage in data analysis by utilizing data mining, machine learning, and statistical analysis techniques to create predictive and descriptive models. These models will be integrated to develop various analytical approaches such as segmentation, clustering, forecasting, and classification. Additionally, you will leverage data visualization tools to interpret and present findings in a compelling manner, ensuring that insights are actionable and useful for stakeholders. The position requires a strong understanding of both structured and unstructured data, as you will be collecting and transforming data using ETL and ELT tools, as well as developing custom code. Familiarity with distributed methods, such as MapReduce, is essential for handling large data collections. You will also analyze data using commercial off-the-shelf (COTS) tools and programming languages, building analytical solutions that drive business insights. Collaboration with data subject matter experts (SMEs) and business stakeholders is crucial to prioritize information needs and ensure the accuracy of data and analytics. This role is ideal for individuals who thrive in an agile environment and possess strong technical documentation and reporting skills. You will be expected to maintain and integrate analytical systems with operational systems, verifying the accuracy of data and analytics while generating new business insights through comprehensive data analysis and visualization.