Sr. Data Scientist, WW Insurance & Claim
Sr. Data Scientist, WW Insurance & Claim
Posted on :
22-06-2025
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1 Vacancy
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Job Description
The DSP (Delivery Service Partner) Offer & Expansion team is part of the Last Mile Product and Technology organization and is responsible for designing launching and managing the strategy of the Delivery Service Partner (DSP) program around the world across all of its various use cases.
As a critical member of the actuarial data science team this position will be responsible for driving our capabilities around pricing performance drivers and portfolio economics. You will work backwards from business problems to create models and solutions to define the pricing and structure of our global product offerings. Partnering with our single-threaded leader product leads help to develop and build core processes to monitor market trends competitors and performance to optimize our products.
Key job responsibilities
Develop sophisticated pricing models that capture market trends competitive landscapes and performance drivers
Create comprehensive economic analyses to inform strategic product decisions
Design and implement advanced statistical methodologies to evaluate and optimize product offerings
Collaborate with product leads to translate complex data insights into actionable business strategies
Build robust monitoring processes to track market dynamics and competitive intelligence
A day in the life
Your day will be a dynamic blend of data exploration strategic analysis and collaborative problem-solving. Youll dive deep into complex datasets develop predictive models and translate intricate financial insights into actionable business strategies. Expect to engage with cross-functional teams challenge existing assumptions and contribute to product development.
- 5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 8 years of professional or military experience
- Experience with statistical models e.g. multinomial logistic regression
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
As a critical member of the actuarial data science team this position will be responsible for driving our capabilities around pricing performance drivers and portfolio economics. You will work backwards from business problems to create models and solutions to define the pricing and structure of our global product offerings. Partnering with our single-threaded leader product leads help to develop and build core processes to monitor market trends competitors and performance to optimize our products.
Key job responsibilities
Develop sophisticated pricing models that capture market trends competitive landscapes and performance drivers
Create comprehensive economic analyses to inform strategic product decisions
Design and implement advanced statistical methodologies to evaluate and optimize product offerings
Collaborate with product leads to translate complex data insights into actionable business strategies
Build robust monitoring processes to track market dynamics and competitive intelligence
A day in the life
Your day will be a dynamic blend of data exploration strategic analysis and collaborative problem-solving. Youll dive deep into complex datasets develop predictive models and translate intricate financial insights into actionable business strategies. Expect to engage with cross-functional teams challenge existing assumptions and contribute to product development.
- 5 years of data scientist or similar role involving data extraction analysis statistical modeling and communication experience
- 5 years of data querying languages (e.g. SQL) scripting languages (e.g. Python) or statistical/mathematical software (e.g. R SAS Matlab etc.) experience
- Masters degree in a quantitative field such as statistics mathematics data science business analytics economics finance engineering or computer science or Bachelors degree and 8 years of professional or military experience
- Experience with statistical models e.g. multinomial logistic regression
- 2 years of data visualization using AWS QuickSight Tableau R Shiny etc. experience
- Experience managing data pipelines
- Experience as a leader and mentor on a data science team
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 $143300/year in our lowest geographic market up to $247600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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