1mo ago

Senior AI/ML Data Analyst

United States·Springfieldsenior

Data AnalystData

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Quick Summary

Key Responsibilities

Conduct data analysis, develop visualizations,

Technical Tools

Data AnalystData

Responsibilities

~2 min read

→Conduct data analysis, develop visualizations, and provide recommendations regarding data used for AI/ML model development
→Evaluate the diversity and suitability of training datasets and assess alignment between training data and operational data
→Support governance and oversight of data operations, including data preprocessing, labeling, curation, and management
→Develop and maintain dashboards and analytical tools used to monitor and evaluate data operations
→Perform data quality monitoring, analysis, and assurance and provide recommendations to improve AI/ML and computer vision model performance
→Analyze large volumes of geospatial data to identify patterns, trends, and potential solutions to complex user requirements
→Work with structured and unstructured datasets to identify valuable data sources, support data curation activities, and assess overall data quality
→Apply data and performance metrics to support product and technical decision-making
→Evaluate industry-standard solutions and emerging technologies and provide strategic recommendations regarding their applicability
→Collaborate with stakeholders, users, technical teams, and software engineers to translate operational needs into actionable data and technical requirements
→Engage with users and customers to identify and understand underlying business and technical needs
→Work collaboratively with multidisciplinary teams to solve complex problems involving interrelated and interdependent objectives
→Support the complete AI product development lifecycle, including conceptualization, design, implementation, testing, and evaluation
→Stay current with emerging AI/ML technologies, research, tools, and industry practices and apply relevant advancements to ongoing initiatives

Requirements

~1 min read

Active U.S. Government Top Secret clearance with SCI eligibility
Bachelor’s degree in Computer Science, Mathematics, Engineering, or a related technical field
Minimum 1 year of professional experience working with Artificial Intelligence or Machine Learning technologies
Minimum 1 year of experience working with large-scale geospatial datasets
Demonstrated experience developing software using multiple programming languages and statistical packages
Knowledge of dataset management and analysis tools and AI/ML technologies
Demonstrated experience working with databases
Experience working with structured and unstructured data
Strong analytical and problem-solving skills with the ability to use data and metrics to drive technical and product decisions
Experience analyzing and assessing data quality for AI/ML applications
Strong critical-thinking skills and demonstrated ability to collaboratively solve complex problems in a team environment
Agile/Scrum experience and familiarity with Agile methodologies
Demonstrated ability and willingness to continuously learn and adapt to rapidly evolving AI technologies
Familiarity with current AI research, technologies, and industry developments
Strong communication and collaboration skills with the ability to work effectively with technical teams, users, and stakeholders

Master’s degree in Computer Science, Mathematics, Engineering, or a related technical field
Experience supporting complex, mission-critical technology environments
Experience supporting large-scale enterprise information technology architectures and tools
Experience supporting acquisition programs or mission-support contracts within highly regulated environments
Scrum Master or related Agile certification
Active U.S. Government Counterintelligence (CI) Polygraph