Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Scientist I, PXT Central Science role.
Rezi rewrites your resume against Amazon's job description. Free.

Tailor your resume to this Data Scientist I, PXT Central Science role.
Rezi rewrites your resume against Amazon's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Scientist I, PXT Central Science posting at Amazon — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Data Scientist I, PXT Central Science posting at Amazon — free, in seconds.
About the Role
PXT Central Science is seeking an exceptional Data Scientist to translate complex business challenges into quantitative frameworks, extract insights from data, and architect scalable solutions to enhance the experience of over 1 million employees worldwide. Apply data science to Amazon's mission of making it Earth's Best Employer.
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 deliver 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.
Requirements
- 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.
Skills
- SQL
- Python
- R
- SAS
- Matlab
- Statistical packages
- Business intelligence tools
- SPSS
- S-PLUS
- Machine learning concepts
- Clustered data processing
- Hadoop
- Spark
- Map-reduce
- Hive
- AI systems
- Quantitative analysis
- Data-driven business decisions
- Complex concept communication
Location
- USA, MA, Boston
- USA, VA, Arlington
Work Type
- Onsite
Experience Level
- 1+ years
- 2+ years
Education Level
- Master's degree in Science, Technology, Engineering, or Mathematics (STEM)
- Ph.D. in Science, Technology, Engineering, or Mathematics (STEM)
Salary/Compensations
- 108,300.00 - 160,000.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
- Parental leave
About the Company
- 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.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- 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.