Propensity Modeling

Propensity Modeling Data Jobs

2 jobs found

1mo ago

Principal AI Engineer

Verizon Basking Ridge, NJ

Basking Ridge, NJ

1mo ago Closed

$121k - $231k/yr Full time Ai Ml Artificial Intelligence Cloud

This position is no longer accepting applications (closed Sep 1, 2026).

Job Description

Verizon is seeking a Principal AI Engineer to lead the end-to-end development and deployment of high-priority propensity models that enable microsegmentation and personalized customer experiences. This hybrid role, based in Basking Ridge, NJ, combines hands-on modeling with mentorship of engineers and collaboration with marketing stakeholders to translate complex analytics into measurable business outcomes. The position offers a salary range of USD 120,500 to 231,000 per year.

Responsibilities

Build, train, and deploy our most intricate propensity models to forecast customer behavior, churn risk, and key lifecycle triggers.
Independently manage end-to-end model development pipelines, from advanced feature engineering to production deployment and monitoring.
Collaborate with high-visibility base management pods and senior marketing stakeholders to convert retention goals into actionable data science solutions.
Own the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance.
Translate advanced analytical outputs into microsegmentation strategies that empower marketing partners to deliver highly personalized customer experiences.
Serve as a technical mentor and advisor to senior and mid-level AI/ML engineers, sharing best practices for model optimization and data pipelines.
Present complex model insights, performance metrics, and strategic recommendations clearly to senior leadership and cross-functional partners.

Requirements

Bachelor’s degree or four or more years of work experience.
Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Four or more years of experience independently developing, deploying, and optimizing complex machine learning or propensity models in a production environment.
Experience working on high-priority or high-visibility technical initiatives within a corporate setting.
Knowledge of LLM agent architecture: Google ADK, LangChain/LangGraph, multi-agent orchestration, retrieval-augmented generation (RAG), MCP, A2A protocols.
Experience with retrieval-augmented generation (RAG), ONNX-based embeddings, vector databases and semantic search.
Knowledge of cloud-scale data engineering: BigQuery pipelines, GCP (Cloud Run, Vertex AI).
Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction.

Technologies

Google ADK
LangChain
LangGraph
Retrieval-augmented generation (RAG)
MCP
A2A protocols
ONNX-based embeddings
Vector databases
Semantic search
BigQuery pipelines
GCP
Cloud Run
Vertex AI
Python
R
SQL
OpenTelemetry
Arize Phoenix
Galileo

Benefits

Health and wellness coverage including medical, dental, and vision; short- and long-term disability; basic and supplemental life insurance; AD&D; identity theft protection; pet insurance; and group home and auto insurance
401(k) savings plan with company match
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Premium pay options such as overtime, shift differential, holiday pay, and allowances
Newly hired employees accrue up to 15 vacation days per year, growing with service
Total rewards package

Where you’ll be working

This is a hybrid role with a defined work location that includes work from home and assigned office days as set by the manager. A minimum of three days per week in the office is expected, with adherence to hybrid work policies.

Schedule

40 hours per week

Equal Employment Opportunity

Verizon is an equal opportunity employer. Qualified applicants are evaluated without regard to veteran status, disability or other legally protected characteristics.

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1mo ago

Data Scientist

Amazon.com Services LLC Culver City, CA

Culver City, CA

1mo ago Closed

$136k - $213k/yr Full time Marketing Analytics Artificial Intelligence

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Data Scientist on the DISCO M&G team within Amazon Music, based in Culver City, California (onsite). The role centers on analyzing large-scale data, developing models and algorithms, and guiding identity, acquisition, and retention strategies across marketing, product, and engineering.

Responsibilities

Lead the research and development of models and science products that drive identity, acquisition, and retention initiatives for Amazon Music.
Collaborate with Marketing and Growth leadership to craft science-driven business strategies, including subscriber segmentation, lifecycle management, and upsell programs.
Develop predictive models such as propensity, uplift, and causal inference to support targeted marketing, quantify incremental impact, and automate analyses of key metric variances.
Work with product, engineering, and marketing teams to assess the impact of growth campaigns, features, and algorithmic interventions through rigorous experimentation.
Examine experiment results and provide data-driven recommendations to optimize subscriber acquisition and retention.
Collaborate with senior data scientists and product managers to define, propose, and validate success and guardrail metrics for identity and growth initiatives.
Educate marketing and growth teams on analytics, measurement frameworks, and experimentation best practices to foster evidence-based decision making.

Requirements

Minimum of two years of experience as a data scientist.
More than three years of experience with data querying languages (eg SQL), scripting languages (eg Python), or statistical/mathematical software (eg R, SAS, Matlab).
Over three years of experience with machine learning and statistical modeling tools and techniques, including understanding factors that affect performance.
At least one year of experience working with or evaluating AI systems.
Experience applying theoretical models in real-world, applied environments.
Bachelor's Degree with five or more years of relevant experience, or a Master's Degree with two or more years of relevant experience.

Technologies

SQL
Python
R
SAS
Matlab
Perl

Compensation

Annual salary range: USD 136,000 - 212,800 per year.

Benefits

Sign-on payments
Restricted stock units (RSUs)
Health insurance (medical, dental, vision, prescription)
Basic Life & AD&D insurance, option for Supplemental life plans
Employee Assistance Program (EAP) and Mental Health Support
Flexible Spending Accounts
Adoption and Surrogacy Reimbursement coverage
401(k) matching
Paid time off
Parental leave

About the Team

The DISCO team focuses on accelerating Amazon Music customer growth by empowering product teams to make sound, customer-centric decisions through data and insights. We build data pipelines, self-service analytics, insights and predictive models enabling acquisition, engagement and retention at scale with personalized customer touchpoints.

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