Associate Data Scientist

UL Solutions; Vancouver (WA); On-site; USD 63,000 - 83,000; Full time

Benefits offered by this job

Health benefits (medical, dental, and

401K retirement benefits

Paid time off (vacation, holidays, and

Job summary

UL Solutions is seeking an Associate Data Scientist to transform data into insights that support decision-making. You will collect and clean data, perform analyses, and build dashboards in Power BI and Excel, while learning predictive modeling under senior guidance.

The role emphasizes collaboration with business stakeholders, agile practices, and adherence to data governance. A strong foundation in statistics, data analysis, and communication is required.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related field.
• 0-2 years of experience in data analytics, business analytics, or data science roles.
• Experience through internships, academic projects, or professional work involving data analysis and reporting.
• Working knowledge of SQL and Python.
• Experience with Power BI, Excel, or similar data visualization tools.
• Understanding of basic statistical concepts and data analysis techniques.
• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to communicate findings clearly to technical and non-technical audiences.

Responsibilities

• Collect, clean, validate, and maintain data to ensure accuracy, quality, and reliability for reporting and analysis.
• Perform ad-hoc and recurring analyses to identify trends, patterns, and business insights.
• Prepare datasets and assist in exploratory data analysis to support business and operational initiatives.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, or similar tools.
• Support the development, testing, validation, and monitoring of predictive and statistical models under the guidance of senior team members.
• Apply basic statistical techniques to analyze data and support business decision-making.
• Assist in integrating and preparing data from multiple internal and external data sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Document business requirements, user stories, and analytical processes.
• Communicate analytical findings and recommendations to both technical and non-technical audiences.
• Support data quality initiatives and help identify opportunities to improve data collection processes.
• Partner with data engineering and development teams to support analytics and reporting initiatives.
• Use SQL, Python, Excel, and other analytical tools to support data analysis and reporting activities.
• Participate in Agile ceremonies and use Azure DevOps to track work items and project progress.
• Adhere to the Underwriters Laboratories Code of Conduct and follow all security, data governance, and compliance requirements.

Skills

SQL

Python

Power BI

Excel

Education

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related field

Tools

Azure DevOps

Job description

Job Description

The Associate Data Scientist works with business stakeholders and technical teams to transform data into meaningful insights that support operational and strategic decision-making. This role contributes to analytics, reporting, visualization, and data science initiatives while gaining hands‑on experience with modern analytics tools, data platforms, and methodologies. The ideal candidate is analytical, detail-oriented, and eager to develop their skills in a collaborative, data-driven environment.

Responsibilities

• Collect, clean, validate, and maintain data to ensure accuracy, quality, and reliability for reporting and analysis.
• Perform ad-hoc and recurring analyses to identify trends, patterns, and business insights.
• Prepare datasets and assist in exploratory data analysis to support business and operational initiatives.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Excel, or similar tools.
• Support the development, testing, validation, and monitoring of predictive and statistical models under the guidance of senior team members.
• Apply basic statistical techniques to analyze data and support business decision-making.
• Assist in integrating and preparing data from multiple internal and external data sources.
• Collaborate with business stakeholders to understand requirements and translate them into analytical solutions.
• Document business requirements, user stories, and analytical processes.
• Communicate analytical findings and recommendations to both technical and non-technical audiences.
• Support data quality initiatives and help identify opportunities to improve data collection processes.
• Partner with data engineering and development teams to support analytics and reporting initiatives.
• Use SQL, Python, Excel, and other analytical tools to support data analysis and reporting activities.
• Participate in Agile ceremonies and use Azure DevOps to track work items and project progress.
• Adhere to the Underwriters Laboratories Code of Conduct and follow all security, data governance, and compliance requirements.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Information Systems, Engineering, or a related field
• 0-2 years of experience in data analytics, business analytics, or data science roles
• Experience through internships, academic projects, or professional work involving data analysis and reporting
• Working knowledge of SQL and Python
• Experience with Power BI, Excel, or similar data visualization tools
• Understanding of basic statistical concepts and data analysis techniques
• Strong analytical, problem-solving, and critical-thinking skills
• Strong attention to detail and commitment to data quality
• Ability to communicate findings clearly to technical and non-technical audiences
• Experience gathering, documenting, and interpreting business requirements
• Familiarity with Agile methodologies and tools such as Azure DevOps or Jira
• Ability to work collaboratively with cross-functional business and technical teams

Preferred

• Experience working with cloud-based data platforms such as Azure, Snowflake, etc.
• Familiarity with software development lifecycle (SDLC) concepts and version control tools
• Exposure to AI-assisted analytics, generative AI, or emerging data science technologies
• Experience working with enterprise data environments and data governance practices

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

• The estimated salary range for this position is $62,700 to $83,000 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).

Applications will be accepted until 2/2/27

About Us

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.

About The Team

If you like getting out and about, you’ll love being part of our Field Engineering team. We travel to companies and manufacturing facilities all over the world to carry out risk-based inspections and ensure the integrity of existing certifications — we perform over 3,000 site visits every single day. It could be testing the fire doors at a school, checking a fire truck or even inspecting the New Year’s ball in Times Square. Every day’s different and there’s always a new challenge to face. If you love an adventure, join our team and take your career to new and exciting places.