Data Scientist

We have an exciting opportunity for a Data Scientist at UL Standards & Engagement. This is a hybrid opportunity based in Evanston, IL OR Raleigh-Durham, NC office.

The Data Scientist will support a diverse portfolio of standards and data science initiatives to advance the mission of UL Standards & Engagement (ULSE) 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 the advancement of 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

UL Standards & Engagement:

At UL Standards & Engagement (ULSE), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have created new safety standards and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.

Build a safer, more secure, and sustainable future with us. Join us and work with our Standards teams who develop the standards required to put that knowledge into practice.

What you'll learn and achieve:

As the Data Scientist, you will play a key role in the rapid growth of UL 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 you'll 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. 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 partnerships that enable us to pursue a beneficent future in which we all can thrive.

• Total Rewards: All employees at UL Standards & Engagement 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:

While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:

• 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 group, 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:

• Bachelor's 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 programing 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 grassroots initiatives for neighborhoods to summit of world leaders. Our organization employs collaborative and scientific approaches 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.