Vantor

Data Scientist

• Lead development of statistical and machine learning models for the FALCON effort
• Derive models to detect kinematic behaviors using live and historical data
• Develop and run simulations to inform development approaches for incorporating analytics into the system
• Support research, development, and sustainment of mission-focused software applications, backend services, APIs, data workflows, and analytical capabilities
• Create and refine software applications and maintain and enhance custom applications
• Troubleshoot defects and improve performance
• Contribute to code reviews and technical documentation
• Lead teams in designing analytic solutions that meet customer needs
• Enhance analytic solutions for quality and performance
• Integrate data from multiple sources to create a common operating picture
• Select and implement statistical analyses and scoring metrics to evaluate algorithm performance
• Create training and test datasets from multiple sources
• Perform data cleansing, validation, and ETL activities
• Produce analytic reports and presentations for internal and external stakeholders
• Implement data visualization for analysis, presentations, and end-user UI needs
• Perform feature engineering, classifier optimization, event forecasting, and anomaly detection
• Interface with external stakeholders to decompose data science mission needs
• Document data science processes, results, and approaches
• Select and implement machine learning algorithms to enhance or compete with existing algorithms
• Collaborate with software engineers, data scientists, analysts, and customer stakeholders in an agile, remote-first environment

Systems Engineer

• Lead and contribute to the design, integration, deployment, and sustainment of mission-focused systems
• Support analytical workflows, operational users, and data-intensive applications
• Translate mission and user needs into technical requirements, system designs, interface definitions, deployment patterns, and operational processes
• Partner with software engineers and data scientists to ensure applications, data pipelines, infrastructure components, and external integrations operate reliably, securely, and at mission speed
• Support mission partners and deliver reliable systems enabling operational awareness and data-driven decision-making
• Participate in prototyping and iterative feedback-driven delivery
• Support system integration, testing, verification and validation, troubleshooting, and operational readiness activities

Senior Systems Engineer

• Contribute to research, development, and sustainment of mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities
• Assist in designing analytic solutions that meet customer needs
• Enhance existing analytic solutions for quality and performance
• Integrate data from multiple sources to create a common operating picture
• Select and implement statistical analyses and scoring metrics to evaluate algorithm performance
• Create training and test datasets from multiple sources
• Perform data cleansing, validation, and ETL functions
• Produce analytic reports and presentations for internal and external stakeholders
• Implement data visualization for analysis, presentation, and end-user UI needs
• Perform feature engineering, classifier optimization, event forecasting, and anomaly detection
• Interface with external stakeholders to define data science mission needs
• Document data science processes, results, and approaches
• Select and implement machine learning algorithms
• Troubleshoot defects, improve performance, contribute to code reviews and technical documentation, and collaborate with engineers, data scientists, analysts, and customer stakeholders

Junior Data Scientist

• Lead the team in designing analytic solutions that meet customer needs
• Enhance existing analytic solutions to ensure quality and performance
• Integrate data from multiple sources to create a common operating picture
• Select and implement statistical analyses and scoring metrics to evaluate algorithm performance
• Create training and test datasets from multiple sources to enhance algorithms
• Perform data cleansing, validation, and other ETL functions
• Produce analytic reports and presentations for internal and external stakeholders
• Identify and implement data visualizations for analysis, presentations, and end-user UI needs
• Perform feature engineering, classifier optimization, event forecasting, and anomaly detection
• Interface with external stakeholders to decompose data science mission needs
• Produce documentation describing data science processes, results, and approaches
• Select and implement machine learning algorithms to enhance or compete with existing algorithms
• Research, develop, and sustain mission-focused software applications, backend services, APIs, data workflows, and analytical capabilities
• Maintain and enhance custom applications, troubleshoot defects, improve performance, contribute to code reviews and technical documentation, and deliver reliable capabilities in an agile, remote-first environment
• Collaborate with software engineers, data scientists, analysts, and customer stakeholders to build applications and data pipelines supporting operational awareness and data-driven decision-making

• Lead the development of statistical and machine learning models for the FALCON effort
• Derive models to detect kinematic behaviors using live and historical data
• Develop and run simulations to inform approaches for incorporating analytics into the system
• Support development and sustainment of mission-focused software applications, backend services, APIs, data processing workflows, and analytical capabilities
• Create and refine software applications, maintain and enhance custom applications, troubleshoot defects, improve performance, contribute to code reviews and technical documentation
• Lead teams in designing analytic solutions that meet customer needs
• Enhance analytic solutions for quality and performance
• Integrate data from multiple sources to create a common operating picture
• Select and implement statistical analyses and scoring metrics to evaluate algorithm performance
• Create training and test datasets from multiple sources
• Perform data cleansing, validation, and ETL functions
• Produce analytic reports and presentations for internal and external stakeholders
• Implement data visualization for analysis, presentations, and end-user UI needs
• Perform feature engineering, classifier optimization, event forecasting, and anomaly detection
• Interface with external stakeholders to decompose data science mission needs
• Produce documentation covering data science processes, results, and approaches
• Select and implement machine learning algorithms to enhance or compete with existing algorithms
• Collaborate with software engineers, data scientists, analysts, and customer stakeholders in an agile, remote-first environment

Data Scientist

Senior Systems Engineer

Junior Data Scientist

Data Scientist

Senior Data Scientist