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Qode

Data Scientist

New York , United States
full-time

TLDR

Maintain and enhance data products and dashboards, providing analytics support to optimize telecom operations and identify opportunities for cost reduction.


 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. 
  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. 
 Qode

Qode is a technology-driven platform that transforms how recruiters and candidates connect by leveraging data and automation. Our solutions streamline the hiring process through machine learning, creating private talent pools and automating workflows, ultimately enhancing the quality of candidate evaluation and decision-making. With our no-code tools, we empower organizations to develop tailored recruitment strategies without needing extensive technical skills.

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