Data Scientist Analyst - Orlando, United States - Lockheed Martin Corporation
Description
Perform exploratory research and analysis to identify novel and meaningful patterns in data and uses statistical methods to reject or accept proposed hypotheses about relationships or latent predictive factors discovered through their work to provide business value.
e:
GPU processing, distributed computing, highly parallel coding, cloud computing, machine learning, visualization, system modelling and simulation) to achieve results.
Areas of expertise should include several of the following:
applied statistics, text mining, natural language processing, deep learning, optimization, and other similar fields.
Work on datasets with applied statistics and machine learning algorithms; Use exploratory data analysis techniques to identify meaningful relationships, patterns, or trends from complex data sets and discover opportunities in datasets to support decision-making; Develop predictive models and new algorithms to solve data / business problems; Understand the math and statistics behind the models and interpret, extrapolate, and prescribe from data to deliver actionable recommendations using effective visualizations.
Company informationWe connect customers with integrated solutions & predictive technologies to ensure they stay ahead of emerging threats.
Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
Transportation, Software, Information Technology, Financial Services, Industrial Automation, Professional Services, Manufacturing, Technology, Consulting, IT ServicesCompany Specialties:
Aeronautics, Global Security, Space Systems, Defense, Advanced Technology, Cyber Security, Innovation, Rotary Wing, Aerospace, Energy, Space Exploration, Military Research, Maritime Systems, Aviation, Commercial Aircraft, Autonomous Systems, C4ISR, STEM, Engineering, and Artificial intelligence
#J-18808-Ljbffr