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UL Solutions · 22 hours ago

Data Scientist

Greater Chicago Area

Full-time

Onsite

Mid Level

$80K/yr - $100K/yr

3+ years exp

UL Solutions has been pioneering change since 1894 and is seeking a Data Scientist to enhance their analytics and data science initiatives. The role involves processing and analyzing complex datasets, building predictive models, and collaborating with stakeholders to support business decision-making.

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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

Perform other related duties as directed in support of analytics and data science initiatives

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

Qualification

SQLPythonRMachine LearningPower BITableauStatistical MethodsData ModelingAnalytical SkillsStakeholder ManagementAgile MethodologiesAzure DevOpsProblem-SolvingCommunication SkillsInterpersonal Skills