Senior Lead Scoring Scientist — Deep Learning

Amazon Web Services (AWS); Seattle (WA); On-site; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. in Seattle seeks a Senior Applied Scientist to advance lead scoring and deep learning modeling, delivering production-grade models for customer segmentation, adaptive recommendations, and prioritization.

You will partner with cross-functional teams to translate research into scalable solutions. We expect strong expertise in deep learning, representation learning, and multi-modal data, with a track record of deploying ML solutions at scale.

Qualifications

• 3+ years of building ML models for business applications.
• PhD, or Master's degree with 6+ years of applied research experience.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or equivalent).
• Experience with neural deep learning methods and machine learning.
• Knowledge of deep learning, machine learning and statistics.
• Experience engaging with stakeholders to convey complex ideas clearly.
• Real world experience in recommender systems, transformers, or multi-objective tasks.
• Strong background in statistical analysis, experimental design, and SQL/Spark for big data processing.

Responsibilities

• Design and deploy predictive lead scoring models to optimize acquisition, conversion, and retention.
• Architect end-to-end ML pipelines for large-scale DL models, including data preprocessing and real-time inference.
• Publish research, file patents, and stay ahead of industry trends in marketing science and propensity modeling.
• Innovate in multi-modal modeling to enhance scoring accuracy across account and lead levels.
• Conduct rigorous A/B testing, causal inference, and counterfactual analysis.
• Collaborate with MLOps to streamline deployment, monitoring, and retraining.
• Mentor junior scientists on ML methodology and production best practices.
• Define offline and online evaluation frameworks; establish business-aligned success metrics.

Skills

ML modeling

Deep learning

Lead scoring

Survival analysis

Graph networks

Transformer models

A/B testing

MLOps

Communication with stakeholders

Education

PhD

Master's degree + 6+ years applied research

Tools

Java

C++

Python

PyTorch

TensorFlow

Job description

Amazon Web Services, Inc. in Seattle seeks a Senior Applied Scientist to advance lead scoring and deep learning modeling, delivering production-grade models for customer segmentation, adaptive recommendations, and prioritization.

You will partner with cross-functional teams to translate research into scalable solutions. We expect strong expertise in deep learning, representation learning, and multi-modal data, with a track record of deploying ML solutions at scale.