Process and analyze large datasets to extract insights, build predictive models, and support business decision-making using machine learning techniques.
- 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.
Top Skills
Data Mining
Machine Learning
Statistical Analysis
Similar Jobs at UL Solutions - Oracle TEST
3D Printing
Lead AI/ML initiatives, defining compliance programs for trustworthiness, assessing models for fairness and security, and consulting on AI integration into products.
Top Skills:
AIMl
3D Printing
The Business Development Manager coordinates with customers and teams to drive revenue growth, address customer issues, and develop global account strategies.
13 Days Ago
3D Printing
Leads a global technical team to develop standards and services in innovative technology, defining vision and strategies to drive alignment with customer needs.
Top Skills:
Ai SystemsHigh-Density ComputeSmart MobilitySoftware
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
