Amazon.com Services LLC
Data Science, Science, no business category
DataScientistII,PXTCentralScience
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist II, PXT Central Science at Amazon.com Services LLC. Skills: Data Science, Machine Learning, GenAI. Design scalable models. Develop scalable models”
What You'll Achieve.
Enhance employee experience; Deliver measurable impact
Industry & Context.
Translate business challenges; Extract actionable insights; Solve for defects
What They're Looking For.
Must Have
2+ years data scientist experience, 3+ years data querying languages, 3+ years scripting languages, 3+ years statistical/mathematical software, 3+ years machine learning/statistical modeling, 1+ years guiding researchers, 1+ years evaluating AI systems, 1+ years creating educational content, Master's degree in STEM, Experience applying theoretical models
Nice to Have
Ph.D. in STEM, Knowledge of machine learning concepts, Experience in Python, Experience in Perl, Experience in another scripting language, Experience in ML role, Experience in data scientist role, Experience defining GenAI benchmarks, Experience working on multi-team projects, Experience working on cross-disciplinary projects, Experience applying quantitative analysis, Experience making data-driven decisions, Experience communicating complex concepts
What You'll Do.
Design scalable models
Develop scalable models
Maintain scalable models
Partner with scientists
Partner with engineers
Partner with product leaders
Solve employee experience defects
Author technical documentation
Maintain technical documentation
Stay current with methods
Stay current with technologies
Implement methods strategically
Implement technologies strategically
How You'll Work.
Team & Collaboration
Partner with scientists; Partner with engineers; Partner with product leaders; Interdisciplinary team; Science; Engineering; UX
Communication Scope
Effective writing; Visualizations; Presentations
Full Job Description
We are seeking an exceptional Data Scientist to join our team in PXT Central Science. The ideal candidate will thrive in a dynamic, multifaceted role where you'll translate complex business challenges into rigorous quantitative frameworks, extract actionable insights from structured and unstructured datasets, and architect science-backed, scalable solutions that elevate the experience of our 1 million+ employees worldwide. If you're energized by the opportunity to apply data science to our mission of making Amazon Earth's Best Employer, we want to hear from you. Key job responsibilities • Own the design, development, and maintenance of scalable models and prototypes leveraging statistical, machine learning, or GenAI methodologies to enhance employee experience. • Partner with scientists, engineers, and product leaders to solve for employee experience defects using scientific approaches, building new services and tools that deliverable measurable impact. • Author and maintain detailed technical documentation related to the projects you drive. • Communicate results to diverse audiences of varying technical background with effective writing, visualizations, and presentations • Stay current with emerging methods and technologies, and implement them strategically to amplify the team’s impact. About the team The Central Science Team within Amazon’s People Experience and Technology org (PXTCS) uses economics, behavioral science, statistics, machine learning, and Generative AI to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, well-being, and the value of work to Amazonians. We are an interdisciplinary team, which combines the talents of science, engineering, and UX to develop and deliver solutions that measurably achieve this goal. Basic Qualifications: - 2+ years of data scientist experience - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e
Applying for this Data Scientist II, PXT Central Science role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Amazon.com Services LLC?
Real rants from real employees. Read before you apply.