Description
We are seeking an innovative and impact-driven Data Scientist to design, build, and deploy advanced analytics and Generative AI solutions. You will be at the forefront of transforming our global support model by developing predictive insights, automating performance intelligence, and powering scalable decision-making across a growing fleet of AR-supported sites.
This role blends core data science, machine learning, and GenAI capabilities with deep collaboration across engineering, product, and field support teams. The ideal candidate brings strong technical fluency in modeling and NLP, a track record of production-scale solution delivery, and passion for building analytics products that drive action.
Key job responsibilities
Develop and deploy ML models to predict AR network risks based on telemetry, support tickets, and operational data.
Design and prototype GenAI applications (e.g., summarizers, root cause generators, business Reveiws insight copilot) using LLMs via SageMaker, Bedrock, or open-source stacks.
Partner with Data Engineers to ensure scalable feature pipelines and integration of modeling outputs into production workflows and customer-facing dashboards.
Conduct deep-dive analyses to uncover trends and anomalies in AR solution performance and convert findings into recommendations for Support teams.
Create human-readable narratives from structured outputs using natural language generation and summarization techniques to support field teams and leadership reviews.
Lead experimentation efforts and drive measurable impact through AB tests or quasi-experiments across new support initiatives.
Collaborate cross-functionally with product, TPMs, BIEs, and engineering to co-develop roadmap features and integrate predictive insights into our core platforms.
Contribute to GenAI strategy, exploring new use cases, evaluating LLM models, and building reusable GenAI components for broader team adoption.
About the team
The P&I team is dedicated to developing and scaling analytics products and services across all functions of AR Global Safety & Support (GSS) organization. By leveraging advanced analytics, automation, and deep domain expertise, we drive efficiencies, mitigate risks, and ensure robust data integrity across all AR support functions. Our outcomes empower service and support teams across a global network of AR sites with predictive insights, proactive network monitoring, and comprehensive risk assessments, enabling an “Always Ready” support model. We also develop core data pipelines and infrastructure solutions to enable supportability and ensure availability of data-driven insights to our customers.
Basic Qualifications
Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
6+ years of data scientist experience
3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment
Preferred Qualifications
Experience in Python, Perl, or another scripting language
Experience in a ML or data scientist role with a large technology company
Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science
3+ years of experience developing and deploying predictive models in production environments.
Hands-on experience with GenAI technologies (e.g., LangChain, transformers, LLM fine-tuning, prompt engineering).
Expertise in Python, SQL, SageMaker (or equivalent ML infra), and data pipeline frameworks.
Strong communication skills with experience translating complex findings into actionable business insights.
Experience working in large-scale operational or hardware network environments (e.g., robotics, fulfillment, manufacturing) is a plus.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.