Job Details

Research Scientist III – QA-QC

We have an exciting opportunity for a Research Scientist III – QA-QC at UL Research Institutes. This is a remote-based opportunity.

The Research Scientist III works with data, develops preliminary findings, and prepares written reports and data visualizations that supports the research of the Fire Safety Research Institute (FSRI). The Research Scientist III works closely with other FSRI leaders and researchers to analyze data, and develop models associated with fire safety science to ensure all processes are accurate and technically sound.

Build a safer, more secure, and sustainable future with us. Join us and work with our Fire Safety teams who conduct the research required to produce that knowledge and put into practice.

What you'll learn and achieve:

• 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.

What you'll experience working at UL Research Institutes: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.

• People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.
• Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
• Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.
• Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster the partnerships that enable us to pursue a beneficent future in which we all can thrive.
• Total Rewards: All employees at UL Research Institutes are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and 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.

What makes you a great fit:

• 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.

Professional education and experience requirements for the role include:

• 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.

Salary Range: $89,602.01-$123,202.76

Pay Type: Salary