We're seeking a detail-oriented and analytical Data Scientist to collect, analyze, and interpret complex data sets. You'll develop predictive models, identify trends, and provide actionable insights to inform business decisions.
Key Responsibilities:
1. Data Analysis: Collect, analyze, and interpret large data sets to identify trends and patterns.
2. Predictive Modeling: Develop predictive models to forecast future trends and outcomes.
3. Data Visualization: Create data visualizations to communicate findings to stakeholders.
4. Insight Generation: Identify opportunities for business growth and improvement through data-driven insights.
5. Collaboration: Collaborate with cross-functional teams to implement data-driven solutions.
Work Areas:
1. Business Analytics: Work in business analytics, analyzing data to inform business decisions.
2. Research and Development: Work in research and development, applying data science to solve complex problems.
3. Finance and Economics: Work in finance and economics, analyzing data to understand market trends and economic indicators.
Top Skills
What you need to know about the Charlotte Tech Scene
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
