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Research Scientist III- Data Analyst

$89.6k - $123.2k
Full-time

UL Research Institutes

Role Description

We have an exciting opportunity for a Research Scientist III- Data Analyst 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.

What you’ll learn and achieve:

  • Identifies fundamental knowledge needed to enhance UL Research Institutes’ thought leadership and support the strategy of UL Research Institutes.
  • 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.
  • Contributes to the development of reusable data products and standardized data models across research domains.
  • Analyzes emergency response data to determine trends and develop solutions.
  • 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.
  • Works with students and teams.
  • Presents research results internally or externally as needed.
  • Performs 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.
  • 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.
  • Every day is different for us here. You’ll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.
  • We learn, work, and grow together through targeted development, reward, and recognition programs.
  • Four core values guide our work: collaboration, respect, integrity, and beneficence.

Benefits

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

Qualifications

  • Expertise in statistical analysis, predictive modeling, and hypothesis testing.
  • Experience designing interactive dashboards, reports, and executive-level presentations.
  • Advanced proficiency in Python, SQL, and modern data analysis libraries.
  • 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.

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.
  • 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.
  • 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

Vacancy posted 4 days ago
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