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About
BASIC QUALIFICATIONS
- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 4+ years of data scientist experience
- Experience with statistical models e.g. multinomial logistic regression
- Bachelor's degree or above in Math, Statistics, Computer Science, or related Science field, or Master's degree and 5+ years of professional or military experience
- Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
- Knowledge of data analysis languages (e.g., R, Stata, Python, etc.) or other statistical software
- Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization
PREFERRED QUALIFICATIONS
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
- 4+ years of processing large, multi-dimensional datasets from multiple sources experience
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Experience participating in or leading technical collaborations and creating alignment across diverse groups (e.g., hardware engineering, software engineering, program management)
- - Strong programming skills in Python, Java, or related languages
- - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices.
- - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences.
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, WA, Seattle - 159,200.00 - 215,300.00 USD annually
Languages
- English
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