Hybrid AI/ML Senior Data Scientist

Verizon Communications; Basking Ridge (NJ); On-site; USD 101,000 - 194,000; Full time

Job summary

Verizon is seeking a Senior Data Scientist to own and drive analytics for AI/ML use cases with guidance from leads. You will develop models, gather data, and support end-to-end analytics projects across the business, mentoring junior team members.

The role is hybrid, requires 40 hours per week, and offers a broad benefits package. You will collaborate with global teams to translate insights into leadership-ready recommendations.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant analytics experience.
• Experience in advanced analytics/predictive modelling, statistics or data mining.
• Experience with third-party B2B data (firmographics, contacts, technographics).
• Experience using GenAI/LLM tools to accelerate software delivery and development velocity.
• Experience across end-to-end analytics projects: ingestion, munging, modeling, validation, deployment, monitoring.

Responsibilities

• Own and perform analytics tasks and lead end-to-end AI/ML use cases with guidance.
• Gather data, assess validity, and synthesize data into large analytics datasets.
• Analyze structured and unstructured data using data mining and ML tools; visualize and storytelling.
• Build and train statistical models and ML algorithms.
• Handle operationalization tasks (wrappers, REST services, monitoring).
• Prepare supporting documents and reports.
• Mentor 1–2 team members on technical aspects as needed.

Skills

Analytical skills

Collaboration

Communication

Mentoring

Problem solving

Education

Bachelor's degree or equivalent experience

Master's degree

Tools

Python

SQL

PySpark

Scala

REST API

Job description

Verizon is seeking a Senior Data Scientist to own and drive analytics for AI/ML use cases with guidance from leads. You will develop models, gather data, and support end-to-end analytics projects across the business, mentoring junior team members.

The role is hybrid, requires 40 hours per week, and offers a broad benefits package. You will collaborate with global teams to translate insights into leadership-ready recommendations.