Senior Applied Scientist B2B Payments Lending
Senior Applied Scientist B2B Payments Lending
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Are you passionate about leveraging your applied science skills to deliver actionable insights that impact daily business decisions Do you thrive using causal inference experimentation and Machine Learning/AI to answer challenging product and customer behavior questions Do you want to be a technical leader and build flexible and global solutions for complex financial risk and causal problems If so here is a great opportunity to consider!
Amazon B2B Payments & Lending is seeking a Senior Applied Scientist who will combine their technical expertise with business intuition to generate critical insights that will set the strategic direction of the business. You will be a thought leader on the team help set the teams strategic focus and roadmaps and design and build systems/solutions that support financial products working closely with business/product partners and engineers. You will utilize causal inference/experimentation/ML/AI methodologies data and coding skills problem solving and analytical skills and excellent communication to deliver customer value.
As a Senior Applied Scientist on our team youll play a pivotal role in uncovering actionable insights that shape the strategic direction of our products and services. Youll work closely with business stakeholders data scientists and engineers to tackle complex problems at the intersection of finance risk modeling and customer behavior.
A day in the life
Collaborate with product data and engineering teams to identify key business and customer questions that can be answered through advanced analytics and machine learning
Design and build flexible scalable solutions that leverage causal inference experimentation and applied ML/AI to provide critical insights that drive strategic decisions
Present analyses and recommendations to stakeholders while also mentoring more junior data scientists and innovating on the teams capabilities
About the team
The Amazon B2B Payments & Lending team is a fastpaced highly collaborative group focused on enabling seamless financial experiences for our business customers. Were building innovative solutions that leverage the power of data AI and automation to deliver frictionless payment processing credit decisioning and financial management tools.
Our team culture is one of curiosity creativity and a relentless drive to delight our customers. We value bold thinking datadriven decision making and a willingness to experiment and learn. If youre passionate about using your technical expertise to drive meaningful business impact this is an exciting opportunity to make a difference.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
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.
Amazon B2B Payments & Lending is seeking a Senior Applied Scientist who will combine their technical expertise with business intuition to generate critical insights that will set the strategic direction of the business. You will be a thought leader on the team help set the teams strategic focus and roadmaps and design and build systems/solutions that support financial products working closely with business/product partners and engineers. You will utilize causal inference/experimentation/ML/AI methodologies data and coding skills problem solving and analytical skills and excellent communication to deliver customer value.
As a Senior Applied Scientist on our team youll play a pivotal role in uncovering actionable insights that shape the strategic direction of our products and services. Youll work closely with business stakeholders data scientists and engineers to tackle complex problems at the intersection of finance risk modeling and customer behavior.
A day in the life
Collaborate with product data and engineering teams to identify key business and customer questions that can be answered through advanced analytics and machine learning
Design and build flexible scalable solutions that leverage causal inference experimentation and applied ML/AI to provide critical insights that drive strategic decisions
Present analyses and recommendations to stakeholders while also mentoring more junior data scientists and innovating on the teams capabilities
About the team
The Amazon B2B Payments & Lending team is a fastpaced highly collaborative group focused on enabling seamless financial experiences for our business customers. Were building innovative solutions that leverage the power of data AI and automation to deliver frictionless payment processing credit decisioning and financial management tools.
Our team culture is one of curiosity creativity and a relentless drive to delight our customers. We value bold thinking datadriven decision making and a willingness to experiment and learn. If youre passionate about using your technical expertise to drive meaningful business impact this is an exciting opportunity to make a difference.
3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Experience programming in Java C Python or related language
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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