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.
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- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
