Lead AI/ML Propensity Modeling Engineer

Jobtailor; New Jersey; On-site; USD 150,000 - 210,000; Full time

Job summary

Jobtailor in New Jersey is seeking a senior data scientist to design and deploy high-priority propensity models that predict customer behavior, churn risk, and lifecycle triggers. You will own end-to-end model pipelines, from feature engineering to production monitoring, and collaborate with marketing stakeholders to translate retention goals into data-driven solutions.

The role requires strong Python, R, and SQL skills, experience with LLM architectures, retrieval-augmented generation, and

Qualifications

• Bachelor's degree or four or more years of work experience
• Four or more years of relevant experience, demonstrated through work experience and/or military experience
• Experience with high-priority or high-visibility technical initiatives in a corporate setting
• Knowledge of LLM agent architecture, including Google ADK, LangChain/LangGraph, multi-agent orchestration, RAG, MCP, and A2A protocols
• Experience with retrieval-augmented generation, ONNX-based embeddings, vector databases, and semantic search
• Knowledge of cloud-scale data engineering, including BigQuery pipelines and GCP Cloud Run and Vertex AI
• Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction
• Preferred: Master’s degree in Data Science, Computer Science, Statistics, or a highly quantitative field
• Preferred: Domain expertise in customer retention, churn prediction, or customer lifetime value modeling
• Preferred: Experience designing and evaluating A/B tests for production models
• Preferred: Experience with production ML/LLM monitoring and observability tools such as OpenTelemetry, Arize Phoenix, or Galileo
• Preferred: Experience with agile, pod-based operating models supporting marketing or customer experience teams
• Preferred: Experience with cloud platforms such as GCP, AWS, or Azure and production MLOps tools
• Preferred: Excellent communication and presentation skills for explaining predictive models to non-technical stakeholders

Responsibilities

• Build, train, and deploy complex, high-priority propensity models predicting customer behaviors, churn risk, and lifecycle triggers
• Manage end-to-end model development pipelines from advanced feature engineering through production deployment and monitoring
• Collaborate with base management pods and senior marketing stakeholders to translate retention goals into data science solutions
• Own the lifecycle of high-impact models, ensuring continuous optimization, accuracy, and measurable business performance
• Translate analytical outputs into microsegmentation strategies for personalized customer experiences
• Present model insights, performance metrics, and strategic recommendations to senior leadership and cross-functional business partners
• Provide advanced machine learning support for Verizon’s transition to a modern, agile pod model
• Support customer lifecycle and trigger-event initiatives to empower marketers, optimize customer journeys, and reduce churn

Skills

Python

R

SQL

LLM architecture

Retrieval-Augmented Generation

ONNX embeddings

Vector databases

Semantic search

BigQuery pipelines

GCP Cloud Run

Vertex AI

Agile pod-based models

ML monitoring

Education

Bachelor's degree

Master's degree in Data Science or related field

Tools

Google ADK

LangChain

BigQuery

GCP Cloud Run

Vertex AI

Job description

Jobtailor in New Jersey is seeking a senior data scientist to design and deploy high-priority propensity models that predict customer behavior, churn risk, and lifecycle triggers. You will own end-to-end model pipelines, from feature engineering to production monitoring, and collaborate with marketing stakeholders to translate retention goals into data-driven solutions.

The role requires strong Python, R, and SQL skills, experience with LLM architectures, retrieval-augmented generation, and