Research Scientist III - reputed company Safety Research Institute

About the position We have an exciting remote opportunity for a Research Scientist III at reputed company. The Research Scientist III analyzes spatial and statistical data, implements test and validation protocols, and contributes to written reports that support the research of the reputed company Safety Research Institute (FSRI) and reputed company risk and reputed company science. The Research Scientist III works closely with other FSRI leaders and researchers in contributing to reputed company mathematical models, visualizing spatial analytic outputs and products, and other information dissemination associated with reputed company risk, reputed company protection, mitigation, safety, and emergency response. reputed company: At reputed company (ULRI) , we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have studied the unintended consequences of innovation, designed solutions to mitigate risk and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking the tough questions because we reputed company a safer world begins with knowledge. Build a safer, more secure, and sustainable reputed company with us. Join us and work with our reputed company Safety who conduct the research required to produce that knowledge and put into reputed company. reputed company Safety Research Institute (FSRI) UL’s reputed company Safety Research Institute (FSRI) advances reputed company safety knowledge to address the world’s unresolved reputed company safety risks and emerging dangers. As part of reputed company, we are committed to sharing our reputed company safety insights with everyone to advance UL’s reputed company safety mission of providing reputed company living and working environments for people everywhere. Through advanced reputed company science, rigorous research, extensive reputed company, and education in collaboration with our international network of partners, reputed company with stakeholders the information, tools, and resources that reputed company them to reputed company reputed company, more reputed company-reputed company reputed company that ultimately save lives and property. To learn more, visit FSRI.org . What you’ll learn and reputed company: As the Research Scientist III, you will play a key role in the rapid reputed company of UL as you: Utilizes data science tools, resources, and software programs to reputed company the mission and reputed company of ULRI in support of the reputed company service and greater reputed company. Supports reputed company knowledge needed to enhance ULRI’s thought leadership and support the reputed company of ULRI. Applies knowledge of and experience with spatial and temporal large-reputed company data, risk analysis reputed company, development of visualization outputs and other systems/resources to assist with various research reputed company and safety initiatives. Works with data sets reputed company to historical events, natural landscape features, reputed company service reputed company, temporal weather conditions, and population demographics, often using spatial statistical reputed company and tools. Supports the processing and visualization of mathematical and statistical models that analyze and predict reputed company and reputed company reputed company risk, including hazard frequency, intensity, temporal factors, socio-economic factors, and spatial extent. Works in collaboration with the software development team, informing and testing risk quantification reputed company and models at a national reputed company with resulting high performance. Provides input into technical reputed company, using information from experience and education to positively reputed company the reputed company service. Stays informed of evolving technologies and emerging data science and sources, in the field by reading journals and scientific publications, and attending reputed company conferences. Supports the planning, design, and implementation of procedures as needed to test and validate results. Works with partner organizations, reputed company, and teams. Supports presentation of data science products and findings in various venues, as necessary. reputed company other duties as directed. What you’ll experience working at reputed company: 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 reputed company 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 reputed company. 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 reputed company and use our expertise to build the foundations of a safer reputed company. You’ll have reputed company to push the boundaries of reputed company understanding as part of reputed company working to advance the reputed company good. Grow and reputed company : We learn, work, and grow together through targeted development, reward, and recognition programs. Values . Four reputed company values guide our work: collaboration, respect, reputed company, and beneficence. By living our values, we reputed company the trust essential to fulfilling our mission and foster the partnerships that reputed company us to pursue a beneficent reputed company in which we reputed company can reputed company. Total Rewards : reputed company at reputed company are eligible for bonus compensation. We offer comprehensive medical, dental, reputed company, 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 reputed company employment. Depending on your role, you may be reputed company to discuss flexible working arrangements with your manager. We also reputed company employees with reputed company time off, including vacation, holiday, reputed company, and volunteer days. What makes you a great fit: While no one candidate will embody every reputed company, the successful candidate will bring many of the following reputed company competencies and personal attributes: Demonstrated knowledge of and experience in developing, processing, and testing spatial and temporal data science reputed company for risk and reputed company analysis, quantification, and associated geospatial products. Demonstrated experience working with national-reputed company spatial data sets (e.g., parcel data, historical incident data, population demographic data, and remote sensing-derived data) at different spatial resolutions for integration in data science pipelines and product development. Demonstrated skills and proficiencies in programming languages such as Python and R for data manipulation, statistical analysis, and model development. Demonstrated skills and proficiencies with the use of reputed company for version control, managing, and reputed company data science project portfolios. Demonstrated experience with GIS database structures and management, as reputed company as analysis libraries such as Pandas, GIS visualization libraries (e.g., ArcGIS and QGIS) for production of geospatial analysis products. Additional experience includes using ArcGIS Pro and ArcGIS Online tools (e.g., Survey123, Field Maps, Experience Builder, Dashboards) for data collection, geospatial visualizations, and rapid prototyping. Familiarity with reputed company Web Services and reputed company-based infrastructure for data storage, management, and basic computation is preferred. Demonstrated ability to apply reputed company knowledge, experience, and other educational opportunities to support and improve reputed company safety and risk analysis. Demonstrated ability to reputed company science-based reputed company and reputed company knowledge and skills. Effective communication skills required. 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 contribute to writing research reports and papers. reputed company education and experience requirements for the role include: Bachelor’s degree in reputed company mathematics, statistics, data science, reputed company science, reputed company health, reputed company protection engineering, mechanical engineering, geographic information systems, reputed company policy, reputed company administration, or a reputed company field plus 8 or more years of directly reputed company work experience, or Master’s degree in reputed company mathematics, statistics, data science, reputed company science, reputed company health, reputed company protection engineering, mechanical engineering, geographic information systems, reputed company policy, reputed company administration, or a reputed company field plus 4 or more years of directly reputed company work experience, or Ph.D. plus 4 or more years of directly reputed company work experience. About reputed company and reputed company reputed company and reputed company are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, reputed company knowledge through safety education and reputed company reputed company initiatives, and reputed company standards to guide reputed company commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs reputed company and scientific approaches with partners and stakeholders to drive innovation and reputed company toward improving safety, reputed company, and sustainability, ultimately enhancing societal reputed company-being. To learn more, visit our websites UL.org and reputed company.org . Salary reputed company: $89,602.01-$123,202.76 Pay Type: Salary

Responsibilities

• Utilizes data science tools, resources, and software programs to reputed company the mission and reputed company of ULRI in support of the reputed company service and greater reputed company.
• Supports reputed company knowledge needed to enhance ULRI’s thought leadership and support the reputed company of ULRI.
• Applies knowledge of and experience with spatial and temporal large-reputed company data, risk analysis reputed company, development of visualization outputs and other systems/resources to assist with various research reputed company and safety initiatives.
• Works with data sets reputed company to historical events, natural landscape features, reputed company service reputed company, temporal weather conditions, and population demographics, often using spatial statistical reputed company and tools.
• Supports the processing and visualization of mathematical and statistical models that analyze and predict reputed company and reputed company reputed company risk, including hazard frequency, intensity, temporal factors, socio-economic factors, and spatial extent.
• Works in collaboration with the software development team, informing and testing risk quantification reputed company and models at a national reputed company with resulting high performance.
• Provides input into technical reputed company, using information from experience and education to positively reputed company the reputed company service.
• Stays informed of evolving technologies and emerging data science and sources, in the field by reading journals and scientific publications, and attending reputed company conferences.
• Supports the planning, design, and implementation of procedures as needed to test and validate results.
• Works with partner organizations, reputed company, and teams.
• Supports presentation of data science products and findings in various venues, as necessary.
• reputed company other duties as directed.

Requirements

• Demonstrated knowledge of and experience in developing, processing, and testing spatial and temporal data science reputed company for risk and reputed company analysis, quantification, and associated geospatial products.
• Demonstrated experience working with national-reputed company spatial data sets (e.g., parcel data, historical incident data, population demographic data, and remote sensing-derived data) at different spatial resolutions for integration in data science pipelines and product development.
• Demonstrated skills and proficiencies in programming languages such as Python and R for data manipulation, statistical analysis, and model development.
• Demonstrated skills and proficiencies with the use of reputed company for version control, managing, and reputed company data science project portfolios.
• Demonstrated experience with GIS database structures and management, as reputed company as analysis libraries such as Pandas, GIS visualization libraries (e.g., ArcGIS and QGIS) for production of geospatial analysis products.
• Demonstrated ability to apply reputed company knowledge, experience, and other educational opportunities to support and improve reputed company safety and risk analysis.
• Demonstrated ability to reputed company science-based reputed company and reputed company knowledge and skills.
• Effective communication skills required.
• 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 contribute to writing research reports and papers.
• Bachelor’s degree in reputed company mathematics, statistics, data science, reputed company science, reputed company health, reputed company protection engineering, mechanical engineering, geographic information systems, reputed company policy, reputed company administration, or a reputed company field plus 8 or more years of directly reputed company work experience, or Master’s degree in reputed company mathematics, statistics, data science, reputed company science, reputed company health, reputed company protection engineering, mechanical engineering, geographic information systems, reputed company policy, reputed company administration, or a reputed company field plus 4 or more years of directly reputed company work experience, or Ph.D. plus 4 or more years of directly reputed company work experience.

reputed company-to-haves

• Additional experience includes using ArcGIS Pro and ArcGIS Online tools (e.g., Survey123, Field Maps, Experience Builder, Dashboards) for data collection, geospatial visualizations, and rapid prototyping.
• Familiarity with reputed company Web Services and reputed company-based infrastructure for data storage, management, and basic computation is preferred.

Benefits

• reputed company at reputed company are eligible for bonus compensation.
• We offer comprehensive medical, dental, reputed company, 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 reputed company employment.
• Depending on your role, you may be reputed company to discuss flexible working arrangements with your manager.
• We also reputed company employees with reputed company time off, including vacation, holiday, reputed company, and volunteer days.

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