Senior Data Scientist Pricing Amazon Shipping
Senior Data Scientist Pricing Amazon Shipping
Posted on :
12-04-2025
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1 Vacancy
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Job Description
Who are we
Do you want to build Amazons next $100B business Were not just joining the shipping industrywere transforming how billions of packages move across the world every year. Through evolving Amazons controlled predictable fulfillment network into a dynamic adaptive shipping powerhouse we are building an intelligent system that optimizes in realtime to deliver on the promises businesses make to their customers.
Our mission goes beyond moving boxeswere spinning a flywheel where every new package makes our network stronger faster and more efficient. As we increase density and scale were revolutionizing shipping for businesses while simultaneously strengthening Amazons own delivery capabilities driving down costs and increasing speed for our entire ecosystem.
What will you do
Amazon shipping is seeking a Senior Data Scientist with strong pricing and machine learning skills to work in an embedded team partnering closely with commercial product and tech. This person will be responsible for developing demand prediction models for Amazon shippings spot pricing system. As a Senior Data Scientist you will be part of a science team responsible for improving price discovery across Amazon shipping measuring the impact of model implementation and defining a roadmap for improvements and expansion of the models into new unique use cases. This person will be collaborating closely with business and software teams to research innovate and solve high impact economics problems facing the worldwide Amazon shipping business.
Who are you
The ideal candidate is analytical resourceful curious and team oriented with clear communication skills and the ability to build strong relationships with key stakeholders. You should be a strong owner are right a lot and have a proven track record of taking on endtoend ownership of and successfully delivering complex projects in a fastpaced and dynamic business environment. As this position involves regular interaction with senior leadership (director) you need to be comfortable communicating at that level while also working directly with various functional teams.
Key job responsibilities
* Combine ML methodologies with fundamental economics principles to create new pricing algorithms.
* Automate price exploration through automated experimentation methodologies for example using multiarmed bandit strategies.
* Partner with other scientists to dynamically predict prices to maximize capacity utilization.
* Collaborate with product managers data scientists and software developers to incorporate models into production processes and influence senior leaders.
* Educate nontechnical business leaders on complex modeling concepts and explain modeling results implications and performance in an accessible manner.
* Independently identify and pursue new opportunities to leverage economic insights
* Opportunity to expand into other domains such as causal analytics optimization and simulation.
About the team
Amazon Shippings pricing team empowers our global business to find strategic harmony between growth and profit tradeoffs while seeking long term customer value and financial viability. Our people and systems help identify and drive synergy between demand operational and economic planning. The breadth of our problems range from CEOlevel strategic support to indepth mathematical experimentation and optimization. Excited by the intersection of data and large scale strategic decisionmaking This is the team for you!
5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 8 years of professional or military experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
Experience working with scientists economists software developers or product managers
Experience working with data engineers and business intelligence engineers collaboratively
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 $143300/year in our lowest geographic market up to $247600/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.
Do you want to build Amazons next $100B business Were not just joining the shipping industrywere transforming how billions of packages move across the world every year. Through evolving Amazons controlled predictable fulfillment network into a dynamic adaptive shipping powerhouse we are building an intelligent system that optimizes in realtime to deliver on the promises businesses make to their customers.
Our mission goes beyond moving boxeswere spinning a flywheel where every new package makes our network stronger faster and more efficient. As we increase density and scale were revolutionizing shipping for businesses while simultaneously strengthening Amazons own delivery capabilities driving down costs and increasing speed for our entire ecosystem.
What will you do
Amazon shipping is seeking a Senior Data Scientist with strong pricing and machine learning skills to work in an embedded team partnering closely with commercial product and tech. This person will be responsible for developing demand prediction models for Amazon shippings spot pricing system. As a Senior Data Scientist you will be part of a science team responsible for improving price discovery across Amazon shipping measuring the impact of model implementation and defining a roadmap for improvements and expansion of the models into new unique use cases. This person will be collaborating closely with business and software teams to research innovate and solve high impact economics problems facing the worldwide Amazon shipping business.
Who are you
The ideal candidate is analytical resourceful curious and team oriented with clear communication skills and the ability to build strong relationships with key stakeholders. You should be a strong owner are right a lot and have a proven track record of taking on endtoend ownership of and successfully delivering complex projects in a fastpaced and dynamic business environment. As this position involves regular interaction with senior leadership (director) you need to be comfortable communicating at that level while also working directly with various functional teams.
Key job responsibilities
* Combine ML methodologies with fundamental economics principles to create new pricing algorithms.
* Automate price exploration through automated experimentation methodologies for example using multiarmed bandit strategies.
* Partner with other scientists to dynamically predict prices to maximize capacity utilization.
* Collaborate with product managers data scientists and software developers to incorporate models into production processes and influence senior leaders.
* Educate nontechnical business leaders on complex modeling concepts and explain modeling results implications and performance in an accessible manner.
* Independently identify and pursue new opportunities to leverage economic insights
* Opportunity to expand into other domains such as causal analytics optimization and simulation.
About the team
Amazon Shippings pricing team empowers our global business to find strategic harmony between growth and profit tradeoffs while seeking long term customer value and financial viability. Our people and systems help identify and drive synergy between demand operational and economic planning. The breadth of our problems range from CEOlevel strategic support to indepth mathematical experimentation and optimization. Excited by the intersection of data and large scale strategic decisionmaking This is the team for you!
5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc. experience
Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 8 years of professional or military experience
Experience with statistical models e.g. multinomial logistic regression
2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
Experience managing data pipelines
Knowledge of AWS tech stack (e.g. AWS Redshift S3 EC2 Glue)
Experience working with scientists economists software developers or product managers
Experience working with data engineers and business intelligence engineers collaboratively
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 $143300/year in our lowest geographic market up to $247600/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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