Research Scientist III – QA-QC
Job Description:
• works with data, develops preliminary findings, and prepares written reports and data visualizations that support the research of the Fire Safety Research Institute (FSRI)
• works closely with other FSRI leaders and researchers to analyze data
• develops models associated with fire safety science to ensure all processes are accurate and technically sound
• identifies fundamental knowledge needed to enhance UL’s thought leadership and support the strategy of UL
• applies intensive and diverse knowledge of engineering technology and systems engineering concepts to the specific research tasks
• analyzes emergency response data to determine trends and develop solutions
• ensures data quality, lineage, and governance compliance using enterprise catalog tools
• stays ahead of changing technologies by reading journals and scientific publications and attending academic conferences
• plans, designs, and completes initial and follow-up tests as needed to validate results
• presents research results internally or externally as needed
• performs other duties as directed
Requirements:
• Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 8 or more years of directly related work experience
• Master's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 4 or more years of directly related work experience
• PhD in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field or equivalent experience plus 2 or more years of directly related work experience
• Experience with ETL/ELT tools and modern data pipeline architectures
• Experience with data validation, cleansing, and quality assurance methodologies
• Experience testing and troubleshooting data pipelines, data integrations, and data transformation processes
• Experience developing automated data quality checks and validation scripts
• Excellent communication skills required
• Ability to collaborate with peers and work directly with Research Scientists and other team members in order to complete a project from start to finish
• Ability to serve as lead author on reports and papers
Benefits:
• comprehensive medical, dental, vision, and life insurance plans
• generous 401k matching structure of up to 5% of eligible pay
• additional 4% into retirement saving fund after first year of continuous employment
• paid time off, including vacation, holiday, sick, and volunteer days
• flexible working arrangements where applicable
• bonus compensation
• works with data, develops preliminary findings, and prepares written reports and data visualizations that support the research of the Fire Safety Research Institute (FSRI)
• works closely with other FSRI leaders and researchers to analyze data
• develops models associated with fire safety science to ensure all processes are accurate and technically sound
• identifies fundamental knowledge needed to enhance UL’s thought leadership and support the strategy of UL
• applies intensive and diverse knowledge of engineering technology and systems engineering concepts to the specific research tasks
• analyzes emergency response data to determine trends and develop solutions
• ensures data quality, lineage, and governance compliance using enterprise catalog tools
• stays ahead of changing technologies by reading journals and scientific publications and attending academic conferences
• plans, designs, and completes initial and follow-up tests as needed to validate results
• presents research results internally or externally as needed
• performs other duties as directed
Requirements:
• Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 8 or more years of directly related work experience
• Master's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 4 or more years of directly related work experience
• PhD in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field or equivalent experience plus 2 or more years of directly related work experience
• Experience with ETL/ELT tools and modern data pipeline architectures
• Experience with data validation, cleansing, and quality assurance methodologies
• Experience testing and troubleshooting data pipelines, data integrations, and data transformation processes
• Experience developing automated data quality checks and validation scripts
• Excellent communication skills required
• Ability to collaborate with peers and work directly with Research Scientists and other team members in order to complete a project from start to finish
• Ability to serve as lead author on reports and papers
Benefits:
• comprehensive medical, dental, vision, and life insurance plans
• generous 401k matching structure of up to 5% of eligible pay
• additional 4% into retirement saving fund after first year of continuous employment
• paid time off, including vacation, holiday, sick, and volunteer days
• flexible working arrangements where applicable
• bonus compensation