Senior Data Scientist - Field Business Functions
Company: UL Solutions
Location: Northbrook, IL (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-09-19
About this role
Job Description
We are seeking an experienced Senior Data Scientist who excels at connecting business needs with data-driven solutions. The ideal candidate has a proven record of working directly with business leaders, leading stakeholder discussions, structuring ambiguous problems, and translating analytical findings into clear recommendations and measurable outcomes. This position requires strong data science and analytics expertise, but it is specifically designed for someone whose strengths extend beyond technical delivery to include business acumen, stakeholder influence, executive communication, and solution adoption. Candidates should be comfortable challenging assumptions, guiding decisions, and collaborating with data engineering and technology teams without being primarily focused on backend development.
Responsibilities
Business Partnership and Problem Definition
- Build trusted relationships with business leaders, functional teams, and subject matter experts to understand priorities, operating context, constraints, and decision needs.
- Lead discovery sessions to frame ambiguous business challenges, identify root causes, define hypotheses, and determine where analytics or data science can create meaningful value.
- Translate business needs into clear problem statements, success measures, business requirements, user stories, and analytical plans.
- Challenge requests when the proposed solution does not address the underlying business problem and recommend a more effective approach.
- Align stakeholders on scope, priorities, assumptions, dependencies, risks, and expected outcomes before development begins.
Analytics and Data Science Delivery
- Own end-to-end analytics and data science initiatives from discovery and data assessment through modeling, validation, implementation, adoption, and outcome measurement.
- Analyze large and complex datasets to identify patterns, drivers, anomalies, opportunities, and actionable insights.
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