Senior Applied Scientist WW Ops Finance SA
Senior Applied Scientist WW Ops Finance SA
Posted on :
24-04-2025
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1 Vacancy
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Job Description
As a Sr Applied Scientist in WW Ops Finance Standardization & Automation (S&A) team you will play a key role in transforming the way Operations Finance teams create and bridge financial plans consume insights identify root causes and prepare XBRs through a combination of Generative AI Machine Learning and Economic models. We are looking for a Senior Applied Scientist to join our Applied Science team to work on AI solutions.
You will be responsible for the design architecture and implementation of AI/ML products and work in the intersection of Science Product and Engineering. You will push the boundaries of ML and Generative AI techniques to drive outcomes and transformation for our business with hundreds of billions of dollars of annual spend. If you have a passion for AI technologies a drive to innovate and a desire to make a meaningful impact we invite you to become a valued member of our team.
Key job responsibilities
Understand large complex use cases across the business and design scalable efficient automated model solutions
Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fastpaced experimental environment
Collaborate with business product and engineering stakeholders to innovate on behalf of customers leveraging data science methodologies and partner with engineers and scientists to design develop and scale machine learning and AI models.
Adapt statistical and machine learning methodologies for Ops Finance by developing and testing models running computational experiments and finetuning model parameters.
Communicate verbally and in writing to business and internal stakeholders with various levels of technical knowledge educate stakeholders on our research and data science practice and deliver actionable insights and recommendations
Develop code to analyze data (SQL PySpark Scala etc. and build statistical and machine learning models and algorithms (Python R Scala etc..
Mentor and grow the scientists in the team
About the team
WW Operations Finance Standardization and Automation (S&A) improves customer experience and business outcomes across Amazon Operations Finance through innovative technical solutions standardization and automation of processes and use of latest technology.
5 years of building Machine Learning Generative AI Natural Language Processing/Understanding Reinforcement learning models for business application experience
PhD in one of the following disciplines: Computer Science Machine Learning Statistics Data Science Applied Math Operational Research or a related quantitative field
Fluency in Python SQL or similar scripting languages and skilled at Java C or other programing languages
Experience with Machine Learning Pipeline orchestration with AWS (SageMaker Batch Lambda Step Functions) or similar cloudplatforms
Depth and breadth in stateoftheart Generative AI and machine learning technologies
Publications at toptier peerreviewed conferences or journals in one of those areas (natural language processing/understanding deep learning machine learning or speech processing)
Experience in Big Data Engineering with Spark / AWS EMR & Glue
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
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 $150400/year in our lowest geographic market up to $260000/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.
You will be responsible for the design architecture and implementation of AI/ML products and work in the intersection of Science Product and Engineering. You will push the boundaries of ML and Generative AI techniques to drive outcomes and transformation for our business with hundreds of billions of dollars of annual spend. If you have a passion for AI technologies a drive to innovate and a desire to make a meaningful impact we invite you to become a valued member of our team.
Key job responsibilities
Understand large complex use cases across the business and design scalable efficient automated model solutions
Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fastpaced experimental environment
Collaborate with business product and engineering stakeholders to innovate on behalf of customers leveraging data science methodologies and partner with engineers and scientists to design develop and scale machine learning and AI models.
Adapt statistical and machine learning methodologies for Ops Finance by developing and testing models running computational experiments and finetuning model parameters.
Communicate verbally and in writing to business and internal stakeholders with various levels of technical knowledge educate stakeholders on our research and data science practice and deliver actionable insights and recommendations
Develop code to analyze data (SQL PySpark Scala etc. and build statistical and machine learning models and algorithms (Python R Scala etc..
Mentor and grow the scientists in the team
About the team
WW Operations Finance Standardization and Automation (S&A) improves customer experience and business outcomes across Amazon Operations Finance through innovative technical solutions standardization and automation of processes and use of latest technology.
5 years of building Machine Learning Generative AI Natural Language Processing/Understanding Reinforcement learning models for business application experience
PhD in one of the following disciplines: Computer Science Machine Learning Statistics Data Science Applied Math Operational Research or a related quantitative field
Fluency in Python SQL or similar scripting languages and skilled at Java C or other programing languages
Experience with Machine Learning Pipeline orchestration with AWS (SageMaker Batch Lambda Step Functions) or similar cloudplatforms
Depth and breadth in stateoftheart Generative AI and machine learning technologies
Publications at toptier peerreviewed conferences or journals in one of those areas (natural language processing/understanding deep learning machine learning or speech processing)
Experience in Big Data Engineering with Spark / AWS EMR & Glue
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
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 $150400/year in our lowest geographic market up to $260000/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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