Data Scientist

Job Description

We have an exciting opportunity for a Data Scientist at UL Research Institutes, based in our Skokie, Illinois, office.

The Data Engineer will be responsible for using advanced mathematical and statistical concepts and theories to collect and analyze data and construct solutions to complex research and stakeholder problems for the Materials Discovery Research Institute (MDRI), a UL Research Institute (ULRI). The Data Scientist will perform advanced statistical analysis on experimental or organizational data to identify, validate and quantify trends or patterns based on guidance from research leaders. Construct advanced predictive models, algorithms, and probability engines to support data analysis or material properties; verifies model and algorithm effectiveness based on real-world results. Designs experiments and methodologies to generate and collect data for organizational use.

UL Research Institutes:

At UL Research Institutes (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 believe a safer world begins with knowledge.

Build a safer, more secure, and sustainable future with us. Join us and work with our Materials Discovery Research Institute, teams who conduct the research required to produce that knowledge and put into practice.

Materials Discovery Research Institute:

The Materials Discovery Research Institute (MDRI) works to develop and deploy new materials with the potential to address current global safety challenges. Pursuing materials that will help produce transformational safety breakthroughs, MDRI harnesses the power of advanced computing and high-throughput experimental methods to create innovative materials that will produce resilience for a sustainable future and protect individual and societal health.

We focus on today’s critical challenges, working to create new and better materials that will support renewable energy and environmental sustainability. Among our top priorities is research into materials capable of carbon capture and energy storage, with an eye toward reducing the adverse impacts of humanity’s reliance upon fossil fuel resources and enabling a transition to renewable energy sources.

Above all, our research builds on our commitment to a safer, more sustainable future.

What you’ll learn and achieve:

As the Data Engineer, you will play a key role in the rapid growth of UL as you:

• Develop advanced machine learning models and statistical algorithms to discover insights, trends, and patterns in large, complex datasets.

• Collaborate closely with cross-functional teams from within and outside of the institute, including data engineers, software developers, and business stakeholders, to define project objectives, scope, and deliverables.

• Support in the design and implement end-to-end data pipelines, from data acquisition and pre-processing to model training, evaluation, and deployment.

• Conduct thorough and rigorous validation of models to ensure their accuracy, reliability, and robustness.

• Continuously explore, evaluate, and integrate new data sources and cutting-edge technologies to enhance our analytics capabilities.

• Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplifications partners, and team members.

• Stay up to date with the latest research and advancements in data science, machine learning, and artificial intelligence, and contribute to the development of new methodologies and best practices.

• Contribute to the establishment and maintenance of data governance and quality standards within the organization.

• Contribute towards the publication of research papers, technical reports, and patent applications, representing the company in the scientific community and at industry events.

• Implement and maintain a digital lab notebook for MDRI for diverse types of chemical and material synthesis approaches by means of RDM software.

• Create and maintain a digital database record for all relevant material synthesis and characterization information obtained for the different products obtained in MDRI.

• Assist research leaders with the definition and development of user-friendly reports and graphics that integrate and convey