Research Scientist III – QA-QC, Fire Safety

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🔥 12 hours ago

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Logo of UL Solutions

UL Solutions

10,000+ employees

Founded 1894

🔒 Cybersecurity

📋 Compliance

⚡ Energy

Cybersecurity • Compliance • Energy

UL Solutions is a global safety science leader that helps companies demonstrate safety, enhance sustainability, strengthen security, deliver quality, manage risk, and achieve regulatory compliance. Through comprehensive services and innovative software solutions, UL Solutions supports businesses across various industries, enabling them to innovate, launch new products and services, and navigate complex global markets. With a commitment to fostering a safer world, UL Solutions focuses on critical areas like electrification, mobility, and sustainability.

📋 Description

• 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.

🎯 Requirements

• 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).

🏖️ Benefits

• All employees at UL Research Institutes are eligible for bonus compensation. • We offer comprehensive medical, dental, vision, and life insurance plans. • Generous 401k matching structure of up to 5% of eligible pay. • Invest an additional 4% into your retirement saving fund after your first year of continuous employment. • Flexible working arrangements may be discussed depending on your role. • Paid time off, including vacation, holiday, sick, and volunteer days.

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