GeoLogics Corporation

Data Scientist

Sterling Heights, Michigan, USA · Contract

Sponsorship not specified$52k-$62kDetected 70 days ago

MATLABRedshiftAWSData EngineeringData ScienceData VisualizationStatisticsJiraExcelSimulinkResearch

About the role

GeoLogics is working with a top Aerospace and Defense client looking for a Data Scientist in Sterling Heights, MI - Hybrid.
Ensure that data is stored securely, efficiently, and in a manner that is accessible for analysis and reporting.
Ensuring the accuracy, consistency, and reliability of data, implementing data validation and quality control processes.

Collect data from various sources (databases, APIs, etc.) and implement efficient data pipelines to transform raw data into usable formats such as dashboards and associated reports and insights.
Optimize data pipelines for speed, scalability, and performance, ensuring that data is available when and where it's needed.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure that data infrastructure meets their needs.
Troubleshoot issues with data infrastructure, monitor system performance, and perform regular maintenance to ensure smooth operation.
Ability to prioritize and self-manage a multi-tasked workload in a fast-paced environment.
Be directly involved in developing data models and process flows as well as liaising with multiple stakeholders mainly engineering, to document and/or validate the current state or As-Is business process.
Experience developing requirements for collection of and follow on use of data to inform the organization.

Skills Required Excellent oral and written communications.
Proficiency with tools such as Power BI, Visual Basic, MS Excel, MATLAB/Simulink, Mathcad, MagicDraw, Midas, AWS/AWS Redshift, SSAS, Alation, Dataiku, Oracle, SQL.
Proficiency with server usage and troubleshooting.
Must be able to work independently to research, analyze, and form solutions.
Must be able to translate data into information; resulting in data-driven actions/recommendations.
Proficiency in areas such as probability and statistics, applied mathematics, Mathematical programming (linear, nonlinear, integer), Network analysis, Queuing theory, and Economic evaluation.
Must have ability to work in a cross-functional team environment Ability to develop solutions to complex problems.

This listing is sourced directly from GeoLogics Corporation's careers page and normalized into a canonical job model.