November 10
• Analyze large and complex data sets, identifying patterns and correlations that offer meaningful insights. • Develop predictive models and algorithms to support various business functions and initiatives. • Collaborate with cross-functional teams, including product development, marketing, and operations, to ensure alignment of data-driven projects. • Create clear and engaging visualizations to represent data insights for technical and non-technical stakeholders. • Stay abreast of the latest industry trends, technologies, and methodologies in data science. • Clearly communicate findings, insights, and recommendations to stakeholders at all levels of the organization.
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. • 3+ years of experience in data analysis, machine learning, or related fields. • Proficiency in programming languages such as Python or R. • Strong understanding of statistical analysis, data mining, and machine learning algorithms. • Experience with data visualization tools and libraries.
Apply NowSeptember 15
11 - 50
Teach CIS courses in Data Science and AI at University of the Cumberlands.