Charter’s customer operations unique business problems
Requirements
- Python to write complex scripts and implement machine learning algorithms
- SQL to write complex queries, extract data from databases, and manipulate data from databases
- Data visualization tools such as Sas Viya, Vscode, or JMP
- Machine learning algorithms such as Generalized linear model, Penalized regression model (lasso or ridge type), XGBoost, or Random Forest
- Statistical methods such as T-test, F-test, Experimental design (DOE), Minimum Sample Size calculation, and Exploratory data analysis (EDA)
- Utilizing Python, SQL, and data visualization tools to present data insights clearly and effectively
Responsibilities
- Lead model development and enhancement within a team responsible for providing data driven solutions to business problems
- Automate complex analysis process to improve team productivity
- Create statistical or machine learning models in Python to predict credit risk and customer behavior
- Track and adjust models to keep them accurate and effective
- Design and test modeling related algorithms to improve the scoring
- Develop continuous integration and continuous delivery (CI/CD) pipelines for sales and margin analysis
- Create reports and visualizations to share insights with senior leaders
Other
- Bachelor's degree in Computer Science, Statistics, Operations Research, or a related field
- 5 years of experience
- Hybrid (in office and remote work) arrangement available
- Comprehensive pay and benefits package
- Equal Opportunity Employer, including job seekers with disabilities and veterans
