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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing, developing, and optimizing machine learning and deep learning solutions, with a strong focus on predictive modeling and customer behavior analysis. Proficient in managing end-to-end model development pipelines and providing technical mentorship to junior data scientists.
Highest-signal resume keywords
Machine Learning AlgorithmsDeep Learning ExpertisePython ProgrammingMLOps ToolsCloud Platforms
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningPredictive ModelingA/B TestingStatistical ModelingFeature EngineeringData ExtractionProbability CalibrationTime-Based ValidationHyper-Personalization
Soft Skills
Technical GuidanceMentorshipCommunicationCollaboration
Tools & Technologies
PyTorchScikit-learnSQLRGCPAWSAzureBigQueryVertex AILangChain
Industry Keywords
Agentic AILLMCustomer Journey OptimizationChurn ReductionMicrosegmentationMulti-Agent OrchestrationSemantic Search
Tech Stack
Tools & technologiesAWSAzureBigQueryCloudGoogle Cloud PlatformPythonPyTorchScikit-LearnSQL
About the role
Key responsibilities & impact- Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions
- Build, train, and deploy propensity models to predict customer behaviors, churn risk, and lifecycle triggers
- Consolidate overlapping propensity models into shared customer-state and unified models
- Manage end-to-end model development pipelines from feature engineering through production deployment and monitoring
- Serve as a subject matter expert on agentic development, machine learning, and predictive modeling
- Provide technical guidance and mentorship to junior data scientists
- Own the lifecycle of models deployed in high-impact areas, ensuring continuous optimization, accuracy, and measurable business performance
- Present model insights, performance metrics, and strategic recommendations to senior leadership and cross-functional business partners
- Support Verizon's transition to a modern, agile pod model
- Enable microsegmentation, hyper-personalization, customer journey optimization, and churn reduction
Requirements
What you’ll need- Bachelor's degree or six or more years of work experience
- Eight or more years of relevant experience, demonstrated through work experience and/or military experience
- Experience working on high-priority or high-visibility technical initiatives within a corporate setting
- Experience designing and measuring A/B tests or uplift models for targeting
- Strong expertise and experience in machine learning/deep learning algorithms, including transformers, transfer learning, and NLP
- Expertise using PyTorch and scikit-learn packages
- Experience with probability calibration and time-based validation
- Experience with Python, R, and SQL for advanced statistical modeling and large-scale data extraction
- Experience with cloud platforms such as GCP, AWS, or Azure
- Experience with production MLOps tools for tracking and maintaining model workflows
- Knowledge of LLM agent architecture, including Google ADK, LangChain/LangGraph, multi-agent orchestration, RAG, MCP, A2A protocols, ONNX-based embeddings, vector databases, and semantic search
- Knowledge of cloud-scale data engineering, including BigQuery pipelines, GCP Cloud Run, and Vertex AI
Benefits
Comp & perks- Medical, dental, and vision insurance
- Short- and long-term disability insurance
- Basic life insurance
- Supplemental life insurance
- AD&D insurance
- Identity theft protection
- Pet insurance
- Group home and auto insurance
- Matched 401(k) savings plan
- Up to 8 company-paid holidays per year
- Up to 6 personal days per year
- Paid parental leave
- Adoption assistance
- Tuition assistance
- Premium pay opportunities, including overtime, shift differential, holiday pay, and allowances
- Up to 15 days of vacation per year for newly hired employees, increasing with additional service
- Other incentives
- Award-winning total rewards package