Applied Scientist, Modeling and Optimization, Modeling and Optimization
Apply NowCompany: Amazon
Location: Bellevue, WA 98006
Description:
Amazon's Modeling and Optimization (MOP) team seeks motivated individual with strong analytical and algorithmic skills to optimize the global logistics network and its operations.
Key job responsibilities
Enhance global logistics network efficiency through data-driven optimization
Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
Optimize capital investment through strategic fixed asset deployment planning
Develop metrics to quantify business impact of implemented solutions
BASIC QUALIFICATIONS
- PhD in Operations Research, Computer Science, Mathematics or similar field; or Master's degree with 4+ years relevant experience
- Experience building machine learning models or algorithms for business applications
- Proficiency with mathematical programming tools (CPLEX, Gurobi, XPRESS)
- Strong coding skills in Java, C++, and/or Python
- Experience with data extraction and manipulation using Python, SQL or similar tools
- Excellent communication skills with both technical and non-technical audiences
PREFERRED QUALIFICATIONS
- Applied research experience in corporate environments
- Demonstrated business impact in optimization applications (scheduling, routing, facility location)
- Experience developing large-scale decision support tools using optimization technology
- Knowledge of simulation modeling, stochastic processes, optimization under uncertainty, forecasting, time series analysis, and machine learning techniques
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Key job responsibilities
Enhance global logistics network efficiency through data-driven optimization
Reduce variable costs by improving network design, inventory placement, process and operational planning, and resource allocation
Optimize capital investment through strategic fixed asset deployment planning
Develop metrics to quantify business impact of implemented solutions
BASIC QUALIFICATIONS
- PhD in Operations Research, Computer Science, Mathematics or similar field; or Master's degree with 4+ years relevant experience
- Experience building machine learning models or algorithms for business applications
- Proficiency with mathematical programming tools (CPLEX, Gurobi, XPRESS)
- Strong coding skills in Java, C++, and/or Python
- Experience with data extraction and manipulation using Python, SQL or similar tools
- Excellent communication skills with both technical and non-technical audiences
PREFERRED QUALIFICATIONS
- Applied research experience in corporate environments
- Demonstrated business impact in optimization applications (scheduling, routing, facility location)
- Experience developing large-scale decision support tools using optimization technology
- Knowledge of simulation modeling, stochastic processes, optimization under uncertainty, forecasting, time series analysis, and machine learning techniques
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.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.