UL Standards & Engagement
Overview
Data Scientist role at UL Standards & Engagement (ULSE). This is a hybrid opportunity based in Evanston, IL or Raleigh-Durham, NC. The Data Scientist will support a diverse portfolio of standards and data science initiatives to advance UL Standards & Engagement's mission to make the world safer, more secure, and sustainable. The Data Scientist will analyze complex data to identify trends and opportunities that inform standards development and contribute to evidence-based decision-making. Through the application of statistical modeling, machine learning and predictive analytics, the Data Scientist will enable the organization to anticipate emerging issues, measure effectiveness and support the continuous improvement of safety standards. What Youll Learn And Achieve
As the Data Scientist, you will play a key role in the rapid growth of ULSE as you: Independently lead data science projects from design through implementation. Develop and validate models, interpret complex datasets, and translate insights into actionable recommendations. Formulate analytical approaches to solve a range of complex problems. Apply independent judgment in selecting methods, assessing results, and refining solutions. Perform data analysis, statistical modeling, and predictive analytics to identify trends, opportunities, and insights that support organizational goals. Aggregate, transform, and integrate large, diverse datasets from retrospective and real-time sources to build robust analytical models, test hypotheses, and identify emerging trends. Design and implement software systems, analytical pipelines, and algorithms to automate data processing, conduct scalable analyses, and enable real-time data insights. Prepare compelling proposals, presentations, dashboards, and visualization tools that translate complex data into clear, story-driven communications for technical and non-technical audiences. Leverage Azure OpenAI for developing advanced generative AI applications, including implementing function-calling features for streamlined model integration. Support integration of data science into standards development process to improve decision-making. Collaborate with cross-functional teams to develop and implement advanced analytics solution, ensuring alignment with broader initiatives and strategic priorities. Effectively communicate analytical findings, decisions and rationale to end-users and stakeholders. Ensure understanding through clear written summaries, verbal updates, and internal presentations, actively contributing to knowledge sharing across teams or functions. Make notable contributions to shared team goals and independently manage workload effectively, using appropriate communication and adherence to deliverable and timeline expectations. Supports effective coordination of tasks, mentor junior team members, and ensures accountability for team deliverables. Maintain continued awareness of industry trends and external context related to the portfolio. Perform other duties as directed.
What youll experience working at UL Standards & Engagement
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. Youll 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 todays global challenges require. Interesting work: Every day is different. Youll push the boundaries of human understanding as part of a team working to advance the public good. Grow and achieve: Targeted development, reward, and recognition programs. Values: Collaboration, respect, integrity, and beneficence guide our work; they foster trust and partnerships to pursue a beneficent future for all. Total Rewards: Eligible for bonus compensation. Comprehensive medical, dental, vision, and life insurance; generous 401k matching up to 5%; additional 4% retirement contribution after first year. Flexible working arrangements may be possible. Paid time off including vacation, holiday, sick, and volunteer days.
What Makes You a Great Fit
Demonstrated proficiency in data science concepts, tools, methodologies; full understanding of the data science project lifecycle and ability to develop analytical solutions. Strong technical aptitude in statistical and machine learning methods and predictive analytics with ability to evaluate complex datasets and translate insights into actionable recommendations. Proficiency in project management with experience developing project timelines, scope, and managing project resources. Ability to apply independent judgement in selecting methods, assessing results, and refining solutions. Effective communication and engagement skills, with ability to convey complex information to various stakeholder groups, including technical and non-technical audiences. Positive and collaborative interpersonal skills, able to foster partnership and drive internal knowledge sharing across teams or functions. Adaptability in navigating ambiguity and weighing trade-offs across modeling techniques, tools, and solution strategies. Strategic thinker with ability to innovate and adapt in a dynamic industry landscape
Professional Education And Experience Requirements For The Role Include
Bachelors degree in Data Science, Computer Science, Statistics, Engineering or related field. Advanced degree preferred. Minimum 3 years of related work experience in data and statistical analysis. Experience manipulating large datasets, utilizing databases for advanced data management, and familiarity with general purpose programming language such as Hadoop. Proficiency in Python, SQL, or similar programming languages for data analysis and modeling. Experience in Natural Language Processing (NLP) preferred.
About UL Research Institutes And UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement 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, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from neighborhood initiatives to global collaboration. Our organization collaborates with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being. Our affiliate, UL Solutions, stands alongside us in working for a safer and more sustainable world. UL Solutions conducts testing, verification and certification, and provides training and advisory services, along with data-driven reporting and decision-making tools, for customers around the world. To learn more, visit our websites UL.org and ULSE.org. Salary And Benefits
Salary range: $74,051.25 - $101,820.46 Pay Type: Salary Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Public Safety
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Data Scientist role at UL Standards & Engagement (ULSE). This is a hybrid opportunity based in Evanston, IL or Raleigh-Durham, NC. The Data Scientist will support a diverse portfolio of standards and data science initiatives to advance UL Standards & Engagement's mission to make the world safer, more secure, and sustainable. The Data Scientist will analyze complex data to identify trends and opportunities that inform standards development and contribute to evidence-based decision-making. Through the application of statistical modeling, machine learning and predictive analytics, the Data Scientist will enable the organization to anticipate emerging issues, measure effectiveness and support the continuous improvement of safety standards. What Youll Learn And Achieve
As the Data Scientist, you will play a key role in the rapid growth of ULSE as you: Independently lead data science projects from design through implementation. Develop and validate models, interpret complex datasets, and translate insights into actionable recommendations. Formulate analytical approaches to solve a range of complex problems. Apply independent judgment in selecting methods, assessing results, and refining solutions. Perform data analysis, statistical modeling, and predictive analytics to identify trends, opportunities, and insights that support organizational goals. Aggregate, transform, and integrate large, diverse datasets from retrospective and real-time sources to build robust analytical models, test hypotheses, and identify emerging trends. Design and implement software systems, analytical pipelines, and algorithms to automate data processing, conduct scalable analyses, and enable real-time data insights. Prepare compelling proposals, presentations, dashboards, and visualization tools that translate complex data into clear, story-driven communications for technical and non-technical audiences. Leverage Azure OpenAI for developing advanced generative AI applications, including implementing function-calling features for streamlined model integration. Support integration of data science into standards development process to improve decision-making. Collaborate with cross-functional teams to develop and implement advanced analytics solution, ensuring alignment with broader initiatives and strategic priorities. Effectively communicate analytical findings, decisions and rationale to end-users and stakeholders. Ensure understanding through clear written summaries, verbal updates, and internal presentations, actively contributing to knowledge sharing across teams or functions. Make notable contributions to shared team goals and independently manage workload effectively, using appropriate communication and adherence to deliverable and timeline expectations. Supports effective coordination of tasks, mentor junior team members, and ensures accountability for team deliverables. Maintain continued awareness of industry trends and external context related to the portfolio. Perform other duties as directed.
What youll experience working at UL Standards & Engagement
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. Youll 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 todays global challenges require. Interesting work: Every day is different. Youll push the boundaries of human understanding as part of a team working to advance the public good. Grow and achieve: Targeted development, reward, and recognition programs. Values: Collaboration, respect, integrity, and beneficence guide our work; they foster trust and partnerships to pursue a beneficent future for all. Total Rewards: Eligible for bonus compensation. Comprehensive medical, dental, vision, and life insurance; generous 401k matching up to 5%; additional 4% retirement contribution after first year. Flexible working arrangements may be possible. Paid time off including vacation, holiday, sick, and volunteer days.
What Makes You a Great Fit
Demonstrated proficiency in data science concepts, tools, methodologies; full understanding of the data science project lifecycle and ability to develop analytical solutions. Strong technical aptitude in statistical and machine learning methods and predictive analytics with ability to evaluate complex datasets and translate insights into actionable recommendations. Proficiency in project management with experience developing project timelines, scope, and managing project resources. Ability to apply independent judgement in selecting methods, assessing results, and refining solutions. Effective communication and engagement skills, with ability to convey complex information to various stakeholder groups, including technical and non-technical audiences. Positive and collaborative interpersonal skills, able to foster partnership and drive internal knowledge sharing across teams or functions. Adaptability in navigating ambiguity and weighing trade-offs across modeling techniques, tools, and solution strategies. Strategic thinker with ability to innovate and adapt in a dynamic industry landscape
Professional Education And Experience Requirements For The Role Include
Bachelors degree in Data Science, Computer Science, Statistics, Engineering or related field. Advanced degree preferred. Minimum 3 years of related work experience in data and statistical analysis. Experience manipulating large datasets, utilizing databases for advanced data management, and familiarity with general purpose programming language such as Hadoop. Proficiency in Python, SQL, or similar programming languages for data analysis and modeling. Experience in Natural Language Processing (NLP) preferred.
About UL Research Institutes And UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement 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, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from neighborhood initiatives to global collaboration. Our organization collaborates with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being. Our affiliate, UL Solutions, stands alongside us in working for a safer and more sustainable world. UL Solutions conducts testing, verification and certification, and provides training and advisory services, along with data-driven reporting and decision-making tools, for customers around the world. To learn more, visit our websites UL.org and ULSE.org. Salary And Benefits
Salary range: $74,051.25 - $101,820.46 Pay Type: Salary Job Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Engineering and Information Technology Industries: Public Safety
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