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Senior Data Scientist

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UL Research Institutes Job Description We have an exciting opportunity for a Senior Data Scientist at UL Research Institutes, based in our Columbia, Maryland office. The Senior Data Scientist will apply sophisticated mathematical and statistical theories to gather and evaluate fire safety research data, as well as generate insights to devise solutions for intricate business challenges. About UL Research Institutes UL Research Institutes (ULRI) focus on safety science to create a safer, more sustainable world. We study the unintended consequences of innovation, design risk mitigation solutions, and share findings with academia, scientists, manufacturers, and policymakers. Our goal is to identify critical safety and sustainability issues and ask tough questions, believing that a safer world starts with knowledge. Join us to build a safer, more secure, and sustainable future. Collaborate with our Fire Safety and Materials Discovery Research Institute teams who conduct essential research to produce knowledge and apply it practically. Fire Safety Research Institute (FSRI) ULs FSRI advances fire safety knowledge to address unresolved risks and emerging dangers. As part of ULRI, we share insights globally to promote public safety through advanced fire science, research, outreach, and education. Our goal is to enable stakeholders to make better fire-safe decisions, ultimately saving lives and property. Learn more at FSRI.org. What Youll Learn And Achieve As the Senior Data Scientist, you will: Lead statistical analyses on fire safety data to identify patterns, validate findings, and provide actionable insights. Build interactive dashboards to visualize fire safety data, aiding stakeholders in making informed decisions. Deliver data-driven insights to guide strategic decisions within fire safety amplification and communication. Manage data catalogs for internal and external use, ensuring easy access to research and analysis data. Transform complex data into visual formats like graphs and charts for effective communication. Create predictive models to improve fire safety strategies. Design and maintain scalable data pipelines using cloud services (Azure Synapse, Databricks, AWS Redshift) for large datasets. Assess data relevance from various sources, including sensors, open data, social media, and learning systems. Develop automation scripts for data extraction, transformation, and loading processes. Build NLP models using frameworks like BERT, XLNet, SpaCy, GPT-4 for research applications. Prototype new AI techniques and work with teams to integrate models into applications. Leverage programming skills across tools and languages, with up to 20% travel as needed. Working at UL Research Institutes We have a 130-year history of pursuing safety science, fostering collaboration, growth, and shared values like integrity and respect. We offer comprehensive benefits, bonus potential, flexible work arrangements, and paid time off. Ideal Candidate Profile The successful candidate will have: Experience in fire dynamics, safety research, large-scale data processing, and NLP techniques (BERT, XLNet, GPT-4). Proficiency with GIS tools like ArcGIS and market segmentation techniques. A Masters degree in computer science, data science, statistics, or related field, with at least 2 years of relevant experience. About UL UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to safety science research, standards development, and public outreach, aiming to improve safety, security, and sustainability worldwide. Learn more at UL.org and ULSE.org. Salary Range $89,602.01 - $123,202.76 Employment Type Full-time, Mid-Senior Level, Engineering and IT, Research Services #J-18808-Ljbffr