Data Scientist I, PXT Central Science

Amazon Inc.; Omaha (NE); On-site; USD 108,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon.com Services LLC's Central Science Team seeks a Data Scientist to translate complex business challenges into quantitative models and scalable solutions that elevate the experience of Amazonians. You will build models, work with engineers and product leaders, and measure impact across a large workforce.

Responsibilities include rigorous documentation, clear communication of results to stakeholders, and staying ahead with new methods and technologies to amplify impact.

Qualifications

• 1+ years of data querying languages and scripting experience
• 2+ years in a data/research scientist, statistician, or quantitative analyst role
• 1+ years of creating or contributing to educational content
• Master's degree in STEM or equivalent experience

Responsibilities

• Design, develop, and maintain scalable models and prototypes
• Partner with scientists, engineers, and product leaders to solve employee experience defects
• Author and maintain technical documentation for projects
• Communicate results to diverse audiences with writing and visuals
• Stay current with methods and technologies and apply them strategically

Skills

SQL

Python

R

SAS

Mathematics

Education

Master's degree in STEM

Tools

Hadoop

Spark

MapReduce

Hive

Job description

Job ID: 10579474 | Amazon.com Services LLC

PXT Central Science is seeking an exceptional Data Scientist to join our team. 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

• 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
• 2+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience
• 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience
• Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM)

Preferred Qualifications

• Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
• Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R
• Knowledge of machine learning concepts and their application to reasoning and problem-solving
• Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
• Experience working with or evaluating AI systems
• Experience applying quantitative analysis to solve business problems and making data-driven business decisions
• Experience effectively communicating complex concepts through written and verbal communication

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .

• USA, MA, Boston - 108,300.00 - 160,000.00 USD annually
• USA, VA, Arlington - 108,300.00 - 160,000.00 USD annually

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.