Hybrid Data Science Consultant - Marketing Analytics & ML

Verizon; Basking Ridge (NJ); Hybrid; USD 81,000 - 155,000; Full time

Job summary

Verizon is seeking a data analytics professional to work with consumer marketing data across Fios and FWA markets. The role focuses on using data to forecast sales, identify new product potential, and support decision-making for the product lifecycle.

You will collaborate with multiple partners to align analytical solutions with business goals. The position is hybrid, with a minimum three days in the office per week, and requires 40 hours per week.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience in advanced analytics or data science.
• Experience in Looker & Qlik or similar visual analysis tools, optimization and large data sets.
• Experience with data modeling using LookML in Looker.
• Experience with Google Cloud Platform (BigQuery, Vertex AI, Looker).
• Experience with SQL and translating business problems into analytical solutions.

Responsibilities

• Evaluating marketing campaign effectiveness using advanced analytics and ROI analysis.
• Partnering to develop ML models to predict customer behavior and revenue.
• Performing analytics and data mining to develop insights on the business.
• Developing customer lifecycle strategies and retention programs.
• Creating executive dashboards and standardized reporting for data-driven decisions.
• Translating findings into clear business recommendations within financial guidance.
• Monitoring performance and reporting metrics in reports and dashboards.

Skills

Advanced analytics

Data visualization

SQL

Python/JS/R

Machine learning

Omni Channel metrics

Education

Bachelor's degree or 4+ years experience

Master's degree in Data Science / ML / AI (nice to have)

Tools

Looker

Qlik

LookML

BigQuery

Vertex AI

Looker Studio Pro

Python

R

Job description

Verizon is seeking a data analytics professional to work with consumer marketing data across Fios and FWA markets. The role focuses on using data to forecast sales, identify new product potential, and support decision-making for the product lifecycle.

You will collaborate with multiple partners to align analytical solutions with business goals. The position is hybrid, with a minimum three days in the office per week, and requires 40 hours per week.