Research Scientist III - Data Analyst

UL Research Institutes

Completely RemoteFull TimeInformation Technology
Posted Yesterday

Job description

Responsibilities

  • Analyze emergency response data to determine trends and develop solutions
  • Develop preliminary findings, written reports, and data visualizations to support fire safety research
  • Contribute to the development of reusable data products and standardized data models
  • Apply engineering technology and systems engineering concepts to research tasks
  • Plan, design, and complete tests to validate results
  • Present research results internally and externally

Requirements

  • Expertise in statistical analysis, predictive modeling, and hypothesis testing
  • Advanced proficiency in Python, SQL, and modern data analysis libraries
  • Experience designing interactive dashboards and executive-level presentations
  • Demonstrated experience with cloud-based data platforms such as AWS, Snowflake, or Dash
  • Bachelor's degree in Data Analytics, Data Science, Computer Science, Statistics, Mathematics, or a related field with 8+ years of experience, or a Master's with 4+ years, or a PhD with 2+ years

Preferred Qualifications

  • Ability to serve as lead author on scientific reports and papers
  • Experience collaborating with multidisciplinary research teams

Benefits

  • Bonus compensation eligibility
  • Comprehensive medical, dental, vision, and life insurance
  • 401k matching up to 5%
  • Additional 4% retirement fund investment after first year
  • Paid time off including vacation, holiday, sick, and volunteer days

About the Company

UL Research Institutes (ULRI) expands the boundaries of safety science to create a more secure and sustainable world. Through the Fire Safety Research Institute (FSRI), ULRI conducts rigorous research to address unresolved fire safety risks and emerging dangers.

Skills & tools

PythonSQLAWS

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Statistical analysis expertise
  2. 02Predictive modeling
  3. 03Python proficiency
  4. 04SQL proficiency
  5. 05Cloud data platforms (AWS, Snowflake)
  6. 06Relevant Bachelor's, Master's, or PhD
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