[Remote] Research Scientist III – QA\-QC

Note: The job is a remote job and is open to candidates in USA. Sugino Corp. is partnering with UL Research Institutes to find a Research Scientist III – QA-QC. This remote position involves analyzing data, developing models related to fire safety science, and preparing reports and visualizations to support the research efforts of the Fire Safety Research Institute.

Responsibilities

• 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. Exercises a high degree of judgment in formulating, evaluating, and correlating broad engineering research concepts and guiding the analysis of unique problems and developing new and improved techniques and methods
• Analyzes emergency response data to determine trends and develop solutions
• Experience developing automated test datasets and repeatable frameworks, data quality checks and validation scripts
• Ensure data quality, lineage, and governance compliance using enterprise catalog tools
• Stays ahead of changing technologies, in the field by reading journals and scientific publications, and attending academic conferences
• Plan, design, and complete initial and follow-up tests as needed to validate results
• Work with students and teams
• Present research results internally or externally as needed
• Perform other duties as directed

Skills

• 8 years of experience
• Bachelor's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field plus 8 or more years of directly related work experience or
• Master's degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a related field plus 4 or more years of directly related work experience or
• PhD in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or a 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
• Demonstrated experience with cloud-based data platforms and analytics environments (AWS, Snowflake, Dash)
• 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

• All employees at UL Research Institutes are eligible for bonus compensation.
• We offer comprehensive medical, dental, vision, and life insurance plans
• A generous 401k matching structure of up to 5% of eligible pay.
• Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment.
• Depending on your role, you may be able to discuss flexible working arrangements with your manager.
• We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

Company Overview

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