Data Scientist Modeling and Optimization
Data Scientist Modeling and Optimization
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Does the thought of improving one of the worlds most complex logistic systems inspire you Is your passion to sift through hundreds of systems processes and data sources to solve the puzzle and identify the next big opportunity Are you a creative big thinker who is passionate about using data and optimization tools to direct decision making and solve complex and largescale challenges Are you fascinated by the interactions between operations and strategy Do you feel like your skills uniquely qualify you to bridge communication between teams with competing priorities If so then this position is for you! Amazons Modeling and Optimization team (MOP) is looking for a motivated individual with strong analytic and communication skills to join the effort in evolving the network we have today into the network we need tomorrow.
Amazons extensive logistics system is comprised of thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis making the impact of optimal improvements unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazons data and generate actionable recommendations using optimization and simulation. Come build with us!
In this role your main focus will be to perform analysis synthesize information identify business opportunities provide project direction and communicate business and technical requirements within the team and across stakeholder groups. You consider the needs of daytoday operations and insist on the standards required to build the network of tomorrow. Your job will straddle daytoday decisions and strategic vision you will assist in defining tradeoffs and quantifying opportunities for a variety of projects. You will learn current processes build metrics educate diverse stakeholder groups assist science groups in initial solution design and audit all model implementation. A successful candidate in this position will have a background in communicating across significant differences prioritizing competing requests and quantifying decisions made.
The ideal candidate will demonstrate a deep understanding of identifying meaningful key performance indicators and building actionable metrics. This candidate is passionate about providing insights that drive larger initiatives and sees the undeniable value of a good metric. They are excited to be part of and learn from a large science community and are ready to dig into the details to find insights that direct decisions. The successful candidate will have good communication skills and an ability to speak at a level appropriate for the audience will collaborate effectively with scientists software development engineers product managers and hands on operators and will deliver business value in close partnership with many stakeholders from operations finance IT research and business leadership.
A day in the life
2 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
2 years of data querying languages (e.g. SQL Hadoop/Hive) experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Masters degree in a quantitative field or Bachelors degree and 5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
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 for more information. If the country/region youre applying in isnt 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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Amazons extensive logistics system is comprised of thousands of fixed infrastructure nodes with millions of possible connections between them. Billions of packages flow through this network on a yearly basis making the impact of optimal improvements unparalleled. This magnificent challenge is a terrific opportunity to analyze Amazons data and generate actionable recommendations using optimization and simulation. Come build with us!
In this role your main focus will be to perform analysis synthesize information identify business opportunities provide project direction and communicate business and technical requirements within the team and across stakeholder groups. You consider the needs of daytoday operations and insist on the standards required to build the network of tomorrow. Your job will straddle daytoday decisions and strategic vision you will assist in defining tradeoffs and quantifying opportunities for a variety of projects. You will learn current processes build metrics educate diverse stakeholder groups assist science groups in initial solution design and audit all model implementation. A successful candidate in this position will have a background in communicating across significant differences prioritizing competing requests and quantifying decisions made.
The ideal candidate will demonstrate a deep understanding of identifying meaningful key performance indicators and building actionable metrics. This candidate is passionate about providing insights that drive larger initiatives and sees the undeniable value of a good metric. They are excited to be part of and learn from a large science community and are ready to dig into the details to find insights that direct decisions. The successful candidate will have good communication skills and an ability to speak at a level appropriate for the audience will collaborate effectively with scientists software development engineers product managers and hands on operators and will deliver business value in close partnership with many stakeholders from operations finance IT research and business leadership.
A day in the life
2 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
2 years of data querying languages (e.g. SQL Hadoop/Hive) experience
3 years of machine learning/statistical modeling data analysis tools and techniques and parameters that affect their performance experience
Masters degree in a quantitative field or Bachelors degree and 5 years of a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science experience
Experience applying theoretical models in an applied environment
Experience in Python Perl or another scripting language
Experience in a ML or data scientist role with a large technology company
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 for more information. If the country/region youre applying in isnt 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 $125500/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon 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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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