Data Scientist III, IES Shopping Intelligence
Data Scientist III, IES Shopping Intelligence
Posted on :
28-05-2025
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1 Vacancy
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Job Description
Are you excited about delighting millions of customers by driving the most relevant marketing initiatives Do you thrive in a fast-moving large-scale environment that values data-driven decision making and sound scientific practices
Amazon is seeking a Data Scientist . This team is focused on driving key priorities of a)core shopping that elevates the shopping CX for all shoppers in all lifecycle stages b) developing ways to accelerate lifecycle progression and build foundational capabilities to address the shopper needs and c)Alternate shopping models
We are looking for a Data Scientist to join our efforts to support the next generation of analytics systems for measuring consumer behavior using machine learning and econometrics at big data scale at Amazon. You will work machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to define customer facing products and measure customer responses to various marketing initiatives.
The Data Scientist will be a technical player in a team working to build custom science solutions to drive new customers engage existing customers and drive marketing efficiencies by leveraging approaches that optimize Amazons systems using cutting edge quantitative techniques.
The right candidate needs to be fluid in:
Data warehousing and EMR (Hive Pig R Python).
Feature extraction feature engineering and feature selection.
Machine learning causal inference statistical algorithms and recommenders.
Model evaluation validation and deployment.
Experimental design and testing.
- 8 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 7 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- -Experience processing filtering and presenting large quantities (100K to Millions of rows) of data
- -Experience with statistical analysis data modeling machine learning optimizations regression modeling and forecasting time series analysis data mining and demand modeling
- -Experience applying various machine learning techniques and understanding the key parameters that affect their performance
- -Excellent written and verbal communication skills. Strong ability to interact communicate present and influence within multiple levels of the organization.
- - Experience in an operational environment developing fast-prototyping piloting and launching analytic products
- -Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
- - Ability to develop experimental and analytic plans for data modeling processes use of strong baselines ability to accurately understand cause and effect relations
- -Experience in creating data driven visualizations to describe an end-to-end system
- -Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science operations research and business backgrounds.
- -Ability to work on a diverse team or with a diverse range of coworkers
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.
Amazon is seeking a Data Scientist . This team is focused on driving key priorities of a)core shopping that elevates the shopping CX for all shoppers in all lifecycle stages b) developing ways to accelerate lifecycle progression and build foundational capabilities to address the shopper needs and c)Alternate shopping models
We are looking for a Data Scientist to join our efforts to support the next generation of analytics systems for measuring consumer behavior using machine learning and econometrics at big data scale at Amazon. You will work machine learning and statistical algorithms across multiple platforms to harness enormous volumes of online data at scale to define customer facing products and measure customer responses to various marketing initiatives.
The Data Scientist will be a technical player in a team working to build custom science solutions to drive new customers engage existing customers and drive marketing efficiencies by leveraging approaches that optimize Amazons systems using cutting edge quantitative techniques.
The right candidate needs to be fluid in:
Data warehousing and EMR (Hive Pig R Python).
Feature extraction feature engineering and feature selection.
Machine learning causal inference statistical algorithms and recommenders.
Model evaluation validation and deployment.
Experimental design and testing.
- 8 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 7 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Experience with statistical models e.g. multinomial logistic regression
- -Experience processing filtering and presenting large quantities (100K to Millions of rows) of data
- -Experience with statistical analysis data modeling machine learning optimizations regression modeling and forecasting time series analysis data mining and demand modeling
- -Experience applying various machine learning techniques and understanding the key parameters that affect their performance
- -Excellent written and verbal communication skills. Strong ability to interact communicate present and influence within multiple levels of the organization.
- - Experience in an operational environment developing fast-prototyping piloting and launching analytic products
- -Experience in writing academic-styled papers for presenting both the methodologies used and results for data science projects.
- - Ability to develop experimental and analytic plans for data modeling processes use of strong baselines ability to accurately understand cause and effect relations
- -Experience in creating data driven visualizations to describe an end-to-end system
- -Excellent written and verbal communication skills. The role requires effective communication with colleagues from computer science operations research and business backgrounds.
- -Ability to work on a diverse team or with a diverse range of coworkers
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.
Employment Type
Full-Time
Key Skills
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