Applied Scientist Amazon Business Marketing Science
Applied Scientist Amazon Business Marketing Science
Posted on :
24-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 129400 - 212800
Vacancy
1 Vacancy
Posted on :
24-04-2025
Job Description
Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business a fastgrowing startup passionate about building solutions we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.
Key job responsibilities
We are seeking an Applied Scientist who has a solid background in applied Machine Learning and Data Science deep passion for building datadriven products ability to formulate data insights and scientific vision and has a proven track record of executing complex projects and delivering business impact. Specific responsibilities include:
Data driven insights to accelerate acquisition of new members.
Grow benefits adoption based on customer segment vertical and drive customers to their aha moment.
Work closely with software engineering teams to drive model implementations and new feature creations.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
Advance teams engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
About the team
The Marketing Science team applies scientific methods and research techniques to enhance our understanding of AB consumer behavior market trends and the effectiveness of marketing strategies. Our goal is to develop and advance theories and models that can be used to make informed decisions in marketing and to provide insights into consumer decisionmaking processes. Additionally we seek to identify and explore emerging trends and technologies in marketing and to develop innovative approaches for addressing the challenges and opportunities in the field.
Experience programming in Java C Python or related language
Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
Experience building machine learning models or developing algorithms for business application
Experience implementing algorithms using both toolkits and selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $129400/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.
Key job responsibilities
We are seeking an Applied Scientist who has a solid background in applied Machine Learning and Data Science deep passion for building datadriven products ability to formulate data insights and scientific vision and has a proven track record of executing complex projects and delivering business impact. Specific responsibilities include:
Data driven insights to accelerate acquisition of new members.
Grow benefits adoption based on customer segment vertical and drive customers to their aha moment.
Work closely with software engineering teams to drive model implementations and new feature creations.
Establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation
Advance teams engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.
About the team
The Marketing Science team applies scientific methods and research techniques to enhance our understanding of AB consumer behavior market trends and the effectiveness of marketing strategies. Our goal is to develop and advance theories and models that can be used to make informed decisions in marketing and to provide insights into consumer decisionmaking processes. Additionally we seek to identify and explore emerging trends and technologies in marketing and to develop innovative approaches for addressing the challenges and opportunities in the field.
Experience programming in Java C Python or related language
Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
Masters degree in computer science mathematics statistics machine learning or equivalent quantitative field
Experience building machine learning models or developing algorithms for business application
Experience implementing algorithms using both toolkits and selfdeveloped code
Have publications at toptier peerreviewed conferences or journals
PhD in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Experience in stateoftheart deep learning models architecture design and deep learning training and optimization and model pruning
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability 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 $129400/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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