Data Scientist
Required Skills:
Programming: Python, SQL, GCP 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.
- Maintain and enhance the Qlik and Tableau dashboards (Tableau will eventually be converted to Looker or Qlik)
- Provide business support (FP&A, Real estate, cost assurance teams) for data/analytics needs
- 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.
- Prior telecom exposure will be great.
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