• Define and execute the enterprise data governance roadmap, aligning with organizational and technology strategy. • Drive adoption of governance standards across business and clinical domains, ensuring enterprise-wide compliance and accountability. • Serve as the executive-facing leader for data governance, providing updates, metrics, and risk visibility to senior leadership. • Ensure that data is accurate, reliable, and maintained to high standards throughout its lifecycle. • Harmonize conflicting data sources and centralize them into a consolidated source of truth to improve data trust and accuracy. • Lead and mentor the data management team, facilitating communications across multiple committees, and engaging with data consumers to build a community that supports governance practices and policies. • Perform data analytics to examine and interpret raw data, answering questions, and finding trends to improve customer relations and organizational efficiency. • Perform data engineering responsibilities as necessary to support or enhance the results of the data engineering team. • Act as the organization's data security and compliance expert, ensuring that data practices adhere to internal policies and external regulations.

• Guide participants during the practical phase while they work on tasks and projects in Data Science and AI • Support with technical questions and explain concepts • Assist participants in independently developing solutions • Identify knowledge gaps and provide targeted support in the learning process • Provide supplementary learning prompts and resources • Contribute to the improvement of tasks and to a positive learning atmosphere in the course

JOB DESCRIPTION The Data Scientist is responsible for delivering data-driven insights and analytical solutions that support business decision-making. This role partners closely with business stakeholders, data engineering, and development teams to analyze complex datasets, build visualizations, and develop predictive models. The ideal candidate combines strong analytical skills with business acumen and effective communication in an Agile environment. RESPONSIBILITIES - Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling. - Perform ad-hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision-making. - Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine learning techniques based on the problem context. - Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques. - Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data. - Extend and enrich customer and business datasets using third-party data sources when required to improve analytical outcomes. - Enhance data collection and preparation procedures to ensure relevant, high-quality inputs for analytic and machine learning systems. - Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances. - Collaborate with business and technical stakeholders to align analytical solutions with business objectives. - Adhere to the Underwriters Laboratories Code of Conduct and follow all physical and digital security, data governance, and compliance practices.Collaborate with business stakeholders to gather, analyze, and document requirements, translating needs into BRDs, user stories, and functional specifications. - Analyze large, complex datasets using statistical and analytical techniques to identify trends, patterns, and actionable insights. - Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools. - Apply statistical methods and basic machine learning models to support forecasting, prediction, and business decision-making. - Perform ad-hoc and recurring analyses to support both operational reporting and strategic initiatives. - Process, cleanse, validate, and maintain data accuracy and integrity across analytical datasets. - Enhance data collection processes and integrate third-party data sources to improve analytical coverage and model performance. - Communicate analytical findings and recommendations clearly to both technical and non-technical audiences. - Partner with development teams using Azure DevOps to manage work items, track progress, and ensure timely delivery. - Support data science and analytics initiatives using SQL, Python, R, and Excel. - Collaborate with data engineering teams to support analytics pipelines and data lake initiatives. QUALIFICATIONS Required: - Master's degree in Data Science, Data Analytics, Computer Science, or related field - 3-5 years of experience in data analytics or data science roles - Strong proficiency in SQL, Python, and R - Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX - Strong analytical and problem-solving skills with attention to detail - Experience gathering and documenting business requirements - Familiarity with Agile methodologies and Azure DevOps - Excellent communication, interpersonal, and stakeholder management skills - Understanding of statistical methods and probability theory Preferred: - Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras - Experience with Salesforce data and reporting - Experience in business services or manufacturing industries - Familiarity with NLP or deep learning techniques What you'll experience working for ULS UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science. That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe. This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world. Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change. Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits. Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $80,000 to $120,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 10% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours). Accepting applications until 12/15/2026 #LI-SG2 #LI-Remote

Title: Senior Data Scientist I - Health Data Research Location: Remote US Work type: Regular Full-Time Categories: Health Care Evaluation Job Description: NORC at the University of Chicago seeks a talented Senior Data Scientist I to join our Health Care Evaluation Research Department. The Senior Data Scientist I will play a strategic role in working with our research teams to produce valuable insights for our clients. This position supports the development of the strategy and vision for large data analysis projects; may manage both the activities and the work product of data analysts and/or data scientists; provide input and guidance to task leaders especially regarding data acquisition, questionnaire content, data analysis, and overall data dissemination; design, develop, and deploy algorithms, models, and work flows to discover valuable information in large volumes of data from various sources; bring structure to large data sets; evaluate the data, construct models, create business applications, and work closely with organizational leaders to provide input into strategic business implications for the organization. The Senior Data Scientist I work collaboratively with the project team. NORC recognizes that talented and skilled researchers live throughout the U.S. and actively supports remote work arrangements. As a condition of employment, all NORC employees and contractors – including those working remotely - must be fully vaccinated (as defined by current CDC guidance) against COVID-19. DEPARTMENT: Health Care Evaluation NORC’s expertise and ongoing work in health care delivery and financing — including access to insurance, payment and delivery-system reform, benefit design, and quality measurement — advance stakeholders’ understanding of policies and programs, facilitate implementation, and contribute to important improvements in cost and quality. NORC’s expert staff has extensive knowledge of all aspects of health care delivery, from private marketplaces and employer-sponsored insurance to Medicare and Medicaid; from large health care systems to small clinics; and from the needs of children to those of older adults, people with disabilities, and ethnic and racial minorities. Our expert team includes social scientists that acquire, collect, and analyze data from health care organizations and patients; evaluators; health services researchers; health-policy analysts; and professionals with first-hand experience running and supporting health care programs. RESPONSIBILITIES: - Work with terabytes of health and administrative data, and create analytic data products therefrom to support various healthcare research and technical assistance projects. - Implement specifications for rigorous study designs, and measures of performance such as cost and quality, to evaluate the impact of health care programs and policies. - Identify data from multiple sources, perform analysis and recommend applications to add value to project and corporate initiatives; - Develops the platforms and tools to enhance the organization's analytic capabilities. - Work closely with project leaders on implications of the data for processes and decisions. - Recommend methodology for data management, merging, cleaning, transforming and harmonizing data. - Using a degree of creativity and latitude, develop hypotheses, design experiments and test feasibility of proposed initiatives. - Engage in business development activities including authoring various sections of technical proposals. - Manage contracts and work closely with clients to ensure that contractual requirements (deliverables and timelines) and client expectations are met using the highest standards of quality and collegiality. - Train and supervise staff on specific protocols and tasks. REQUIRED SKILLS: - Bachelor’s degree in Math, Statistics, Computer Science, Data Science, or Social Science related field. Masters Degree or higher strongly preferred. - At least 6 years experience (at least 9 years experience if Bachelor's degree) in positions of increasing responsibility, working with large datasets and conducting statistical and quantitative modeling, melding analytics with strong programming, data mining, clustering and segmentation. - Experience working with health care datasets and working directly with federal or states health data. - Working knowledge of different types of data and of the methodologies and technologies for integrating data. - Strong data programming skills in statistical packages and database tools such as SAS, SQL, Python, R, Tableau, Hadoop, Hive, MapReduce and/or other large data systems. - Strong technical writing skills, strong verbal skills; and data visualization/presentation. - Ability to explain technology, techniques and approaches to others. - Excellent oral and written communication skills and aptitude in leading and working with project teams, coordinating multiple projects. - Strong problem solving skills, ability to organize and prioritize work assignments to meet project needs. - Occasional travel to client sites and business meetings may be required. WHAT WE DO: NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge. WHO WE ARE: For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we’re known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale. EEO STATEMENT: NORC is an affirmative action, equal opportunity employer that values and actively seeks diversity in the workforce. NORC evaluates qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, sexual orientation, gender identity, and other legally- protected characteristics.