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Data Scientist I @ General Atomics

USOnsiteFull-time
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About this role

Job Summary

General Atomics Aeronautical Systems, Inc. (GA-ASI), an affiliate of General Atomics, is a world leader in proven, reliable remotely piloted aircraft and tactical reconnaissance radars, as well as advanced high-resolution surveillance systems. Under general supervision, this position is responsible for supporting research, product development, and sales efforts with insights gained from analyzing potentially large, unstructured complex datasets. Develop and code software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.

Assignments are normally accompanied by general instructions and suggestions, outlining possible approaches, sources or information, and potential problems to be encountered with work reviewed regularly for soundness of technical judgment, overall adequacy and accuracy. Tasks involve the exercise of independent judgment and discretion about matters of significance.

DUTIES AND RESPONSIBILITIES

  • Design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse ‘big data’ sources to generate actionable insights and solutions for client services and product enhancement.
  • Develop, refine, deploy, and support statistical and machine learning models utilizing state of the art approaches.
  • Communicate insights and findings from analysis and experiments to product, service, and business managers. Recommend solutions to moderately complex technical and procedure issues.
  • Create and utilize moderately complex algorithms and approaches, clean and synthesize training/test data, create/run simulations, and perform analysis of alternatives to best meet stakeholder requirements.
  • May identify opportunities for product and customer process improvement using statistical and machine learning models to improve the effectiveness of different courses of action.
  • Develop and deploy data visualization in order to communicate moderately complex concepts and data in a simple, actionable manner.
  • Interact with product and service teams to identify questions and issues for data analysis and experiments.
  • Document findings and may make technical presentations to business stakeholders as required. May create proposals, cost estimates, and whitepapers suitable for publication.
  • Represents the organization as a contact with internal and external representatives.
  • Additional Functions: Perform other duties as assigned or required.

We recognize and appreciate the value and contributions of individuals with diverse backgrounds and experiences and welcome all qualified individuals to apply.

Job Qualifications

  • Typically requires a bachelor’s or master’s degree in data science, applied mathematics, statistics, computer science, or related technical/quantitative discipline from an accredited institution. May substitute equivalent experience in lieu of education.
  • Must have a general understanding of data science concepts, principles, and theory with technical experience, demonstrating the application of those concepts.
  • Must possess proficiency in SQL and data visualization tools.
  • Demonstrated ability to integrate multiple data sources, ensure data accuracy, and translate analytical findings into actionable business recs.
  • Must possess proficiency/knowledge of Jira and Mendix.
  • Experience developing operational KPIs and performance dashboards.
  • The ability to understand new concepts quickly and apply them accurately throughout an evolving environment and organize work assignments to meet established timetables.
  • The ability to exercise independent judgment in solving issues of moderate scope and complexity.
  • Good organizational, verbal and written communication skills to accurately document, report and present findings.
  • Good interpersonal skills to effectively interface with all levels of employees including management and outside representatives.
  • Good computer skills.
  • The ability to work independently or in a team environment is essential, as is the ability to work extended hours and travel as required.

Skills

SQLData visualizationMachine LearningJiraMendixperformance dashboard

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