Description
- Pursuing a bachelor’s degree in Data Science, Analytics, Statistics, Mathematics, Computer Science, Engineering or related quantitative discipline
- Knowledge of applied statistical analysis, modeling techniques, and data visualization methods
- Ability to demonstrate your development of algorithms and predictive models to solve a problem
- Proficiency in programming languages SQL, R, Python, and/or SAS
- Excellent communication skills
- Responsible to lead and/or support key analytics projects
- Should manage and work with large, diverse data sets
- Should learn and apply appropriate data science and data engineering techniques to solve business problems
- Responsible to collaborate with data and analytics colleagues as well as key business stakeholders
Skills
Data Analytics
Communication
SQL, R, Python, and/or SAS
data visualization methods
modeling techniques
statistical analysis
Industry Sector