Spectrum-posted 4 months ago
Full-time • Senior
Remote • Stamford, CT
Telecommunications

Lead model development and enhancement within a team responsible for providing data driven solutions to business problems unique to Charter's customer operations. Automate complex analysis process to improve team productivity. Communicate across functions to ensure the projects are delivered with good quality and in a timely manner. 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. Collaborate with business analysts and IT to understand needs, then provide data solutions. Crosscheck with data analysts and set up procedures to maintain high data quality and accuracy. Explain data insights and solutions to both technical and non-technical team members.

  • Lead model development and enhancement.
  • Automate complex analysis processes to improve team productivity.
  • Communicate across functions to ensure timely and quality project delivery.
  • Create statistical or machine learning models in Python.
  • Track and adjust models for accuracy and effectiveness.
  • Design and test modeling algorithms to improve scoring.
  • Develop CI/CD pipelines for sales and margin analysis.
  • Create reports and visualizations for senior leaders.
  • Collaborate with business analysts and IT for data solutions.
  • Crosscheck with data analysts to maintain data quality and accuracy.
  • Explain data insights to technical and non-technical team members.
  • Bachelor's degree in Computer Science, Statistics, Operations Research, or a related field.
  • 5 years of experience utilizing Python for complex scripts and machine learning algorithms.
  • Experience utilizing SQL for complex queries and data manipulation.
  • Proficiency in data visualization tools such as Sas Viya, Vscode, or JMP.
  • Experience with machine learning algorithms like Generalized linear model, Penalized regression model (lasso or ridge), XGBoost, or Random Forest.
  • Knowledge of statistical methods including T-test, F-test, Experimental design (DOE), Minimum Sample Size calculation, and Exploratory data analysis (EDA).
  • Comprehensive pay and benefits package.
  • Support for employee well-being at every stage of life.
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