
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.
🕒 2 days ago
🇺🇸 United States – Remote
💵 $89.6k - $123.2k / year
⏰ Full Time
🟠 Senior
🔴 Lead
🔧 QA Engineer (Quality Assurance)
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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.
• Work with data, develop preliminary findings, and prepare reports and visualizations • Analyze data and develop models associated with fire safety science • Ensure data quality, lineage, and governance compliance • Present research results internally or externally • Plan, design, and complete tests as needed to validate results • Collaborate with diverse teams and work with students • Stay updated with changing technologies and participate in academic events
• Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 8 or more years of relevant work experience OR • Master’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 4 or more years of relevant work experience OR • PhD in Data Analytics, Data Science, Computer Science, Information Systems, Statistics, Mathematics, or related field plus 2 or more years of relevant 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 • Ability to collaborate with peers and work directly with Research Scientists and other team members to complete a project from start to finish • Ability to serve as lead author on reports and papers.
• Health insurance • Dental insurance • Vision insurance • Life insurance • 401(k) matching up to 5% • Additional 4% retirement contribution after one year • Paid time off including vacation, holiday, sick, and volunteer days • Flexible working arrangements
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