Principal Applied Scientist NA Store - Marca Brand Recognition Program
Principal Applied Scientist NA Store - Marca Brand Recognition Program
Posted on :
28-04-2025
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1 Vacancy
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Job Description
Marca represents the voice of the customer with respect to brands: their recognizability reputation value quality and overall appeal. The Marca team (as part of NA Store UPMT org) is hiring an experienced science leader to guide the team on science strategies design ML solutions to solve customerfacing problems at scale and grow and influence the broader science community. The team uses Machine Learning Deep Learning Reinforcement Learning and Causal Inference to derive actionable insights from understanding customer shopping intent and preferences on brands (well recognized brands premium brands new and trending brands relevant top brands matching customer searches or individual customerlevel brand preference) and develop and experiment with ML solutions to deliver business impact. We are a sciencefocused team incubating and building disruptive solutions to solve largescale shopping recommendation and personalization problems to assist our customers easily discover relevant and quality brands and selection as well as to help brand owners being successful to reach promising customers.
This is a unique high visibility opportunity for someone who wants to have direct impact solving customerfacing problems dive deep into largescale economic problems enable measurable actions on the Consumer economy and work closely with scientists.
Key job responsibilities
Lead team science vision and strategies and influence business and product on the overall product vision.
Lead scientists design and build machinelearning and LLM solutions.
Collaborate with partner teams on customerfacing search and browse experiences that will utilize the data and ML models to better serve customers shopping experience.
Perform handson data analysis build machinelearning models run regular A/B tests and communicate the impact to senior management.
Drive continued scientific innovation as a thought leader and practitioner.
Provide technical and career development guidance to both scientists and engineers in the organization.
PhD in computer science ML or related fields. 6 years experience in Data Science and Machine Learning in industry and/or academia. Track record of thought leadership and contributions that have advanced the field. Strong skills in collaboration and teamwork Strong record of delivery in industry and academic contexts using Machine Learning. Ability to handle multiple competing priorities in a fastpaced environment. Excellent written and verbal communication skills. Ability to handle multiple competing priorities in a fastpaced environment.
PhD in Machine Learning Computer Science Statistics or related field
Expertise building largescale machinelearning models
Experience on building recommendation systems personalization and customer understanding solutions
Expertise with Big Data technologies such as AWS Hadoop Spark and LLM knowledge.
Proven records of building complex software systems that have been successfully delivered to customers
Expertise with machine learning data mining and/or statistical analysis tools
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 $179000/year in our lowest geographic market up to $309400/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.
This is a unique high visibility opportunity for someone who wants to have direct impact solving customerfacing problems dive deep into largescale economic problems enable measurable actions on the Consumer economy and work closely with scientists.
Key job responsibilities
Lead team science vision and strategies and influence business and product on the overall product vision.
Lead scientists design and build machinelearning and LLM solutions.
Collaborate with partner teams on customerfacing search and browse experiences that will utilize the data and ML models to better serve customers shopping experience.
Perform handson data analysis build machinelearning models run regular A/B tests and communicate the impact to senior management.
Drive continued scientific innovation as a thought leader and practitioner.
Provide technical and career development guidance to both scientists and engineers in the organization.
PhD in computer science ML or related fields. 6 years experience in Data Science and Machine Learning in industry and/or academia. Track record of thought leadership and contributions that have advanced the field. Strong skills in collaboration and teamwork Strong record of delivery in industry and academic contexts using Machine Learning. Ability to handle multiple competing priorities in a fastpaced environment. Excellent written and verbal communication skills. Ability to handle multiple competing priorities in a fastpaced environment.
PhD in Machine Learning Computer Science Statistics or related field
Expertise building largescale machinelearning models
Experience on building recommendation systems personalization and customer understanding solutions
Expertise with Big Data technologies such as AWS Hadoop Spark and LLM knowledge.
Proven records of building complex software systems that have been successfully delivered to customers
Expertise with machine learning data mining and/or statistical analysis tools
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 $179000/year in our lowest geographic market up to $309400/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:
Staff IC
Employment Type
Full-Time
Key Skills
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