IT Specialist (Data/Machine Learning Engineer) (Open to both U.S. Citizens and Federal Employees) @ National Highway Traffic Safety Administration NHTSA | Jobright.ai
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IT Specialist (Data/Machine Learning Engineer) (Open to both U.S. Citizens and Federal Employees) jobs in Salt Lake City, UT
34 applicants
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National Highway Traffic Safety Administration NHTSA · 7 hours ago

IT Specialist (Data/Machine Learning Engineer) (Open to both U.S. Citizens and Federal Employees)

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AssociationAutomotive
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Work & Life Balance
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Responsibilities

Develop and implement cutting-edge data analysis and machine learning techniques to extract insights from complex datasets.
Utilize programming languages (Python, R, etc.) and statistical tools to clean, transform, and analyze diverse data sources.
Provides guidance on the development and implementation of the corporate information architecture and transformation roadmap that leverages NHTSA’s target state Data Ecosystem including enterprise data management and data governance.
Maintain knowledge of Federal Cybersecurity framework, zero trust architecture/security model, and the federal cloud computing standards roadmap and their applicability to secure the cloud architectures.
Ensure compliance with data privacy and security regulations, including performing data anonymization and encryption when necessary.
Manage and maintain IT solution software, services, acquisition, development, implementation, testing, and maintenance.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonRMachine LearningAWSAzureGoogle CloudData GovernanceGDPRHIPAAData Privacy Compliance

Required

You must be a U.S. Citizen and eligible for consideration.
Experience with cloud-based platforms such as AWS, Azure, or Google Cloud, and the ability to deploy and manage big data pipelines and architectures is highly desirable.
Experience ensuring compliance with data protection standards and implement necessary security measures to protect sensitive data based on data governance policies, regulations, and privacy laws, including GDPR and HIPAA.
Experience in implementing machine learning algorithms, neural networks, and artificial intelligence methods.
Attention to Detail: Ability to be thorough in dealing with machine learning techniques that takes information from complex data sheet.
Design: Ability to install machine learning models and using plans, blueprints, and maps.
Problem Solving: Ability to identify problems dealing with program languages, making recommendations and to generate alternative solutions.
Creativity and innovation: Ability to analyze data and exploits structured and unstructured data to accomplish organizational goals.
Oral & Writing Communication: Ability to make oral presentations and or write technical information to audiences and stakeholders.

Benefits

Comprehensive benefits package

Company

National Highway Traffic Safety Administration NHTSA

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Our mission is to save lives, prevent injuries, and reduce economic costs due to road traffic crashes through education, research, safety standards, and enforcement activity.

Funding

Current Stage
Late Stage

Leadership Team

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Raj Dolas
Chief Technology Officer
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Joyce Padela
Chief Data Officer
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Company data provided by crunchbase
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