Data Scientist, LM Simulations Engineering, AMZL Simulations & Analytics Engineering

Amazon

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profile Job Location:

Bellevue, WA - USA

profile Monthly Salary: Not Disclosed
Posted on: 6 hours ago
Vacancies: 1 Vacancy

Job Summary

Amazons Last Mile Simulation and Analytics Team is seeking a Data Scientist to help design and optimize the worlds most complex delivery network. Youll partner with process engineers design engineers simulation scientists and innovation teams to solve high-impact problems across both greenfield and brownfield initiatives.

In this role youll own the Data Science/ML roadmapdeveloping statistical and machine learning models designing global experiments and discovering new ways to enhance the customer experience. Youll translate ambiguous business challenges into mathematical models contribute to discrete event simulations and deliver solutions that scale. Success requires thriving in a fast-paced collaborative environment while aligning research with Amazons strategic priorities.

Key job responsibilities
Design and execute large-scale experiments to uncover insights from complex datasets
Build scalable automated pipelines for data analysis model development validation and deployment
Develop advanced ML solutions including regression clustering simulation neural networks and optimization algorithms
Partner with cross-functional teams to implement data-driven strategies and measure impact
Validate findings against alternative approaches and key performance indicators
Build stakeholder relationships to drive improvements and prioritize customer needs

- 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.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
- Masters degree in Science Technology Engineering or Mathematics (STEM) or experience working in Science Technology Engineering or Mathematics (STEM)

- Ph.D. in Science Technology Engineering or Mathematics (STEM)
- Knowledge of machine learning concepts and their application to reasoning and problem-solving
- Experience in Python Perl or another scripting language
- Experience in a ML or data scientist role with a large technology company
- Experience in defining and creating benchmarks for assessing GenAI model performance
- Experience working on multi-team cross-disciplinary projects
- 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 for more information. If the country/region youre applying in isnt 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 WA Bellevue - 136000.00 - 184000.00 USD annually


Required Experience:

IC

Amazons Last Mile Simulation and Analytics Team is seeking a Data Scientist to help design and optimize the worlds most complex delivery network. Youll partner with process engineers design engineers simulation scientists and innovation teams to solve high-impact problems across both greenfield and ...
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Key Skills

  • React Native
  • AI
  • Enterprise Software
  • React
  • Node.js
  • Redis
  • AWS
  • Software Development
  • IOS
  • Team Management
  • Product Development
  • Mobile Applications

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