Data Scientist Lead, Research - Material Discovery Research Institute

Job Description

We have an exciting opportunity for a Data Scientist Lead at UL Research Institutes Material Discovery Research Institute (MDRI) in our Skokie, IL facilities.

The Data Scientist Lead will use advanced mathematical and statistical concepts and theories to collect and analyze data and construct solutions to complex research and stakeholder problems. The Data Scientist Lead 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. Design experiments and methodologies to generate and collect data for organizational use.

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.

UL Research Institutes:

At UL Research Institutes, 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 Office of Partnership team who facilitates the research required to produce that knowledge and put into practice.

Through all of our programs, we aim to unlock the diverse perspectives that are essential for solving the world’s most pressing safety and sustainability issues.

What you’ll learn and achieve:

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

• Lead a team of data scientists and researchers in designing and executing cutting-edge projects that utilize advanced data science methodologies for materials discovery.

• Develop and oversee advanced machine learning models, statistical algorithms, and data-driven approaches to generate insights and solutions from complex datasets

• Drive cross-functional collaboration with internal and external teams, including data engineers, software developers, and stakeholders, ensuring project objectives and deliverables are met.

• Design and implement end-to-end data pipelines, from data acquisition and preprocessing to model training, validation, and deployment.

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

• Champion the integration of new data sources and emerging technologies to enhance analytics capabilities.

• Effectively communicate complex technical concepts, methodologies, and results to diverse audiences, including senior management, amplification partners, and data stakeholders.

• 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.

• Represent MDRI in scientific conferences, industry events, and through the publication of research papers, technical reports, and patents.

• Lead the implementation and maintenance of digital tools, including a lab notebook and database for chemical and material synthesis and characterization information.

• Assist research leaders with the definition and development of user-friendly reports and graphi