Senior Data Scientist — Hybrid | ML & Business Impact

verizon; Basking Ridge (NJ); Hybrid; USD 110,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401(k) matching

Paid parental leave

Tuition assistance

Job summary

Verizon in the United States seeks a data scientist to drive data-derived insights across business domains by developing advanced statistical models and ML algorithms. You will gather data, assess validity, build datasets, and present findings to leadership while mentoring junior teammates.

The role requires strong analytical skills and the ability to work with global teams in a hybrid office setup. Experience with Python, SQL, PySpark, and ML techniques, plus familiarity with GenAI/LLM tools,

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant analytics/predictive modelling experience.
• Experience with end-to-end Analytics projects (Ingestion, Munging, Model Building, Validation, Operationalization, Monitoring).
• Experience with Python, SQL, PySpark, Scala and/or other languages/tools.

Responsibilities

• Drive data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms.
• Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals.
• Analyze structured and unstructured data using data mining/statistical/machine learning/deep learning tools and storytelling.
• Build and train statistical models and ML algorithms.
• Perform tasks related to Operationalization (wrapper scripts, REST services, triggers, monitoring).
• Prepare supporting documents and reports.
• Mentor/guidance to team members on technical aspects.

Skills

Python

SQL

PySpark

Scala

Machine Learning

Deep Learning

Data Visualization

Education

Bachelor's degree

Master's degree

Tools

GenAI/LLM tools

Job description

Verizon in the United States seeks a data scientist to drive data-derived insights across business domains by developing advanced statistical models and ML algorithms. You will gather data, assess validity, build datasets, and present findings to leadership while mentoring junior teammates.

The role requires strong analytical skills and the ability to work with global teams in a hybrid office setup. Experience with Python, SQL, PySpark, and ML techniques, plus familiarity with GenAI/LLM tools,