Data Scientist

Programming: Python, SQL, Google Cloud Platform BigQuery, Machine Learning (XGBoost, Classification, Regression, Unsupervised Learning), Model Deployment, Feature Engineering, Model monitoring, LLMs, API integration

Visualization: Looker, Qlik, Dashboard development/maintenance experience.

Nice to have: Teradata, Tableau

Maintain data products such as NEM (Network Equipment Maintenance for WLS) and Project Hubble & Network Almanac (WLS revenue and opex dataset). These data products enable multiple use cases ranging from maintenance dollar optimization, capex planning, and energy efficiency.

1. Maintain and enhance the Qlik and Tableau dashboards (Tableau will eventually be converted to Looker or Qlik)
2. Provide business support (FP&A, Real estate, cost assurance teams) for data/analytics needs
3. Data modelling and insights analytics to manage equipment expenses and identify opportunities for Opex reduction for WLN operations and P&L profiling of WLS cell sites.
4. Prior telecom exposure will be great.