Associate Data Scientist

This role work Hybrid 3 days a week on-Site at the Northbrook, IL Office.

The Associate Data Scientist, under direct supervision, supports the analysis, development, modification, testing and maintenance of data science software. Supports business leadership and senior development professionals in the analysis of software and performs problem resolutions.

• Develop and support AI-enabled solutions that improve productivity across Commercial Operations.

• Build automation workflows, reusable analytics assets, and self-service insight solutions that reduce manual effort.

• Assist in the development of AI agents, prompt libraries, and intelligent workflows for reporting, planning, pricing, and sales operations use cases.

• Support data preparation, data quality monitoring, and governed analytics foundations.

• Create dashboards, data models, and analytical solutions using Power BI, SQL, Python, and related technologies.

• Partner with other Commercial Operations pillars, and IT teams to identify opportunities for automation and scalable insight delivery.

• Contribute to experimentation, prototyping, and adoption of emerging AI capabilities aligned with Commercial Operations priorities.

• Document solutions and promote knowledge transfer to ensure sustainable support and governance.

• Processing, cleansing, and verifying the integrity of data used for analysis.

• Doing ad-hoc analysis and presenting results in a clear manner.

• Analyze large, complex datasets to extract insights and decide on the appropriate technique.

• Selecting features, building and optimizing classifiers using machine learning techniques.

• Data mining using state-of-the-art methods.

• Use data modelling and evaluation strategy to find patterns and predict unseen instances.

• Minimum of bachelor's degree or equivalent work experience in Data Analytics, Data Science, Computer Science or any other related field of science.

• Strong problem-solving skills with an emphasis on product development.

• Experience querying databases and using statistical and computer languages.

• Experience using statistical computer languages to manipulate data and draw insights from large data sets.

• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc..) and their real-world advantages/drawbacks.

• Python coding skills and problem-solving, good analytical & communication skills.

• Ability to articulate an idea with strong communication and presentation skills.

• Work as part of a small team, sharing ideas and contributing to the strategic goals.

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 $62,500 to $75,000 USD 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 5% 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 and personal days (totaling 12 days) and sick time off (72 hours).

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This role does not offer H1B Sponsorship

A global leader in applied safety science, UL Solutions (NYSE: ULS) transforms safety, security and sustainability challenges into opportunities for customers in more than 110 countries. UL Solutions delivers testing, inspection and certification services, together with software products and advisory offerings, that support our customers' product innovation and business growth. The UL Mark serves as a recognized symbol of trust in our customers' products and reflects an unwavering commitment to advancing our safety mission. We help our customers innovate, launch new products and services, navigate global markets and complex supply chains, and grow sustainably and responsibly into the future. Our science is your advantage.

UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that:

Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.