Sr. Data Scientist, WW Insurance & Claim

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. You'll 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.BASIC QUALIFICATIONS • 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 • Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 8+ years of professional or military experience • Experience with statistical models e.g. multinomial logistic regressionPREFERRED QUALIFICATIONS • 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t 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 $143,300/year in our lowest geographic market up to $247,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.