Applied Scientist Intern
Bellevue, Washington, USA
Amazon.com
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As an applied scientist, you will use your experience to initiate the design, development, execution and implementation of scientific research projects. Working closely with fellow research scientists and product managers, you will use your experience in modeling, statistics, and simulation to design models of new policies, simulate their performance, and evaluate their benefits and impacts to cost, reliability, and speed of our fulfillment network.
Our teams are looking for experience in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning. This position requires superior analytical thinking, and ability to apply their technical and statistical knowledge to identify opportunities for real world applications. You should be able to mine and analyze large data, and be able to use necessary programming and statistical analysis software/tools to do so.
Amazon has positions available for Research Scientists in multiple locations across the US and Canada.
PhD degree in Engineering, Technology, Science, Operations Research, Robotics, Mathematics or a related quantitative field
Relevant experience in at least one of the related science disciplines (optimization – LP, MIP, Statistics, Machine Learning, Process Control, Combinatorial Optimization)
Experience with SQL and Statistical/mathematical programming software packages (e.g., R, SPSS, CPLEX, LONDO or Xpress, etc.).
Experience in problem solving and data analytics.
Demonstrated deep expertise in at least one of the related science disciplines (optimization – LP, MIP, Statistics, Machine Learning, Process Control, Combinatorial Optimization)
Excellent written and verbal communication skills.
Experience working with data mining on large datasets (“big data”).
Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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 https://www.amazon.jobs/en/disability/us.
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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $106.83/hr 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. Applicants should apply via our internal or external career site.
Our teams are looking for experience in network and combinatorial optimization, algorithms, data structures, statistics, and/or machine learning. This position requires superior analytical thinking, and ability to apply their technical and statistical knowledge to identify opportunities for real world applications. You should be able to mine and analyze large data, and be able to use necessary programming and statistical analysis software/tools to do so.
Amazon has positions available for Research Scientists in multiple locations across the US and Canada.
Basic Qualifications
PhD degree in Engineering, Technology, Science, Operations Research, Robotics, Mathematics or a related quantitative field
Relevant experience in at least one of the related science disciplines (optimization – LP, MIP, Statistics, Machine Learning, Process Control, Combinatorial Optimization)
Experience with SQL and Statistical/mathematical programming software packages (e.g., R, SPSS, CPLEX, LONDO or Xpress, etc.).
Experience in problem solving and data analytics.
Preferred Qualifications
Fluency in at least one programming or scripting language (e.g., Python, Java, C, C++)Demonstrated deep expertise in at least one of the related science disciplines (optimization – LP, MIP, Statistics, Machine Learning, Process Control, Combinatorial Optimization)
Excellent written and verbal communication skills.
Experience working with data mining on large datasets (“big data”).
Amazon is committed to a diverse and inclusive workforce. Amazon is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, 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 https://www.amazon.jobs/en/disability/us.
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 https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65.38/hr in our lowest geographic market up to $106.83/hr 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. Applicants should apply via our internal or external career site.
Tags: Big Data Data Analytics Data Mining Engineering Java Machine Learning Mathematics PhD Python R Research Robotics SPSS SQL Statistics
Perks/benefits: Career development Equity
Region:
North America
Country:
United States
Job stats:
103
26
2
Category:
Data Science Jobs
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