Tuppl
Lead Data Scientist/Sr. Data Analytics :::: Basking Ridge, NJ Hybrid (2-3 Days)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Scientist/Sr. Data Analyst in Basking Ridge, NJ, hybrid (2-3 days). Contract length and pay rate unspecified. Key skills include Python, SQL, GCP BigQuery, machine learning, and visualization tools like Tableau and Looker. Prior telecom experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Basking Ridge, NJ
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🧠 - Skills detailed
#BigQuery #Deployment #Regression #Unsupervised Learning #Classification #Looker #Qlik #Supervised Learning #Teradata #ML (Machine Learning) #GCP (Google Cloud Platform) #Python #Tableau #Visualization #Data Science #Model Deployment #Programming #API (Application Programming Interface) #SQL (Structured Query Language) #Monitoring #Data Analysis
Role description
Role: Data Scientist/Sr. Data Analyst
Location: Basking Ridge, NJ Hybrid (2-3 Days)
Required Skills:
Programming: Python, SQL, GCP BigQuery, Machine Learning (XGBoost, Classification, Regression, Unsupervised Learning), Model Deployment, Feature Engineering, Model monitoring, LLMs, API integration
Must have
Visualization: Looker, Qlik, Dashboard development/maintenance experience.
Mandatory: 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)
1. Provide business support (FP&A, Real estate, cost assurance teams) for data/analytics needs
1. 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.
1. Prior telecom exposure will be great.
Role: Data Scientist/Sr. Data Analyst
Location: Basking Ridge, NJ Hybrid (2-3 Days)
Required Skills:
Programming: Python, SQL, GCP BigQuery, Machine Learning (XGBoost, Classification, Regression, Unsupervised Learning), Model Deployment, Feature Engineering, Model monitoring, LLMs, API integration
Must have
Visualization: Looker, Qlik, Dashboard development/maintenance experience.
Mandatory: 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)
1. Provide business support (FP&A, Real estate, cost assurance teams) for data/analytics needs
1. 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.
1. Prior telecom exposure will be great.
