Research Scientist, Modeling and Optimization (MOP)
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
Do you enjoy solving challenging problems and driving innovations in research Are you seeking for an environment with a group of motivated and talented scientists like yourself Do you want to create scalable optimization models and apply machine learning techniques to guide real-world decisions Do you want to play a key role in the future of Amazon transportation and operations Come and join us at Amazons Modeling and Optimization team (MOP).
Key job responsibilities
A Research Scientist in the Modeling and Optimization (MOP) team
- provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.
- collaborates effectively with Amazon internal business customers and is their trusted partner
- is proactive and autonomous in discovering and resolving business pain-points within a given scope
- is able to identify a suitable level of sophistication in resolving the different business needs
- is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed
- is aware of the limitations of their proposed solutions and is proactive in communicating them to the business and advances the application of sciences towards Amazon business problems by bringing new methods ideas and practices to the team and scientific community.
A day in the life
- Your will be developing model-based optimization simulation and/or predictive tools to identify and evaluate opportunities to improve customer experience network speed cost and efficiency of capital investment.
- You will quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives.
- You will develop good communication skills and ability to speak at a level appropriate for the audience will collaborate effectively with fellow scientists software development engineers and product managers and will deliver business value in a close partnership with many stakeholders from operations finance IT and business leadership.
About the team
- At the Modeling and Optimization (MOP) team we use mathematical optimization algorithm design statistics and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.
- We focus on transportation topology labor and resource planning for fulfillment facilities routing science visualization research data science and development and process optimization.
- We create models to simulate optimize and control the fulfillment network with the objective of reducing cost while improving speed and reliability.
- We support multiple business lanes therefore maintain a comprehensive and objective view coordinating solutions across organizational lines where possible.
- PhD or Masters degree and 4 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Knowledge of R MATLAB Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status. For individuals with disabilities who would like to request an accommodation please visit 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
Key job responsibilities
A Research Scientist in the Modeling and Optimization (MOP) team
- provides analytical decision support to Amazon planning teams via applying advanced mathematical and statistical techniques.
- collaborates effectively with Amazon internal business customers and is their trusted partner
- is proactive and autonomous in discovering and resolving business pain-points within a given scope
- is able to identify a suitable level of sophistication in resolving the different business needs
- is confident in leveraging existing solutions to new problems where appropriate and is independent in designing and implementing new solutions where needed
- is aware of the limitations of their proposed solutions and is proactive in communicating them to the business and advances the application of sciences towards Amazon business problems by bringing new methods ideas and practices to the team and scientific community.
A day in the life
- Your will be developing model-based optimization simulation and/or predictive tools to identify and evaluate opportunities to improve customer experience network speed cost and efficiency of capital investment.
- You will quantify the improvements resulting from the application of these tools and you will evaluate the trade-offs between potentially competing objectives.
- You will develop good communication skills and ability to speak at a level appropriate for the audience will collaborate effectively with fellow scientists software development engineers and product managers and will deliver business value in a close partnership with many stakeholders from operations finance IT and business leadership.
About the team
- At the Modeling and Optimization (MOP) team we use mathematical optimization algorithm design statistics and machine learning to improve decision-making capabilities across WW Operations and Amazon Logistics.
- We focus on transportation topology labor and resource planning for fulfillment facilities routing science visualization research data science and development and process optimization.
- We create models to simulate optimize and control the fulfillment network with the objective of reducing cost while improving speed and reliability.
- We support multiple business lanes therefore maintain a comprehensive and objective view coordinating solutions across organizational lines where possible.
- PhD or Masters degree and 4 years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience analyzing both experimental and observational data sets
- Knowledge of R MATLAB Python or similar scripting language
- Experience with agile development
- Experience building web based dashboards using common frameworks
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status. For individuals with disabilities who would like to request an accommodation please visit 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
Key Skills
- Laboratory Experience
- Machine Learning
- Python
- AI
- Bioinformatics
- C/C++
- R
- Biochemistry
- Research Experience
- Natural Language Processing
- Deep Learning
- Molecular Biology
About Company
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