Senior Data Scientist - ML Innovator (Hybrid)

Verizon; Irving (TX); Hybrid; USD 101,000 - 194,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Tuition assistance

Parental leave

Job summary

Verizon is seeking a data science professional to drive data-derived insights across the business by developing advanced statistical models and machine learning algorithms. You will direct data gathering and synthesize large analytics datasets to support project goals.

The role involves working with both structured and unstructured data, building end-to-end analytics solutions, and mentoring junior teammates.

Qualifications

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience in analytics or data science.
• Experience in advanced analytics/predictive modelling, statistics or data mining.
• Experience with B2B data (firmographics, contact, technographics, buyer signals).
• Experience using GenAI/LLM tools to accelerate software delivery.
• Experience across end-to-end Analytics projects ( ingestion, munging, modeling, validation, deployment, monitoring ).
• Experience building models with supervised/unsupervised learning, deep learning, text classification.

Responsibilities

• Develop advanced statistical models, ML algorithms and computational methods based on business initiatives.
• Gather data, assess validity and create large analytics datasets for project goals.
• Analyze structured and unstructured data using mining, ML, visualization and storytelling tools.
• Build and train statistical models and ML algorithms.
• Handle operationalization tasks (wrapper scripts, REST services, triggers, monitoring).
• Prepare supporting documents and reports for stakeholders.
• Mentor 1–2 team members on technical aspects as needed.

Skills

Python

SQL

PySpark

Scala

ML & Statistics

Education

Bachelor's degree

Tools

GenAI/LLM tools

Job description

Verizon is seeking a data science professional to drive data-derived insights across the business by developing advanced statistical models and machine learning algorithms. You will direct data gathering and synthesize large analytics datasets to support project goals.

The role involves working with both structured and unstructured data, building end-to-end analytics solutions, and mentoring junior teammates.