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Data Scientist II, DSP Insurance
Data Scientist II, DSP Insurance-March 2024
Nashville
Mar 29, 2026
ABOUT AMAZON
Our mission is to be the world’s most customer-centric company.
10,000+ employees
Technology
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About Data Scientist II, DSP Insurance

  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 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 actuarial modeling 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.

  We are open to hiring candidates to work out of one of the following locations:

  Austin, TX, USA | Bellevue, WA, USA | Chicago, IL, USA | Irvine, CA, USA | Nashville, TN, USA | New York, NY, USA | San Diego, CA, USA | Santa Cruz, CA, USA | Seattle, WA, USA | Tempe, AZ, USA | Dallas, TX, USA | Houston, TX, USA

  We are open to hiring candidates to work out of one of the following locations:

  Bellevue, WA, USA | Nashville, TN, USA

  Basic Qualifications

  2+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience

  2+ years of data querying languages (e.g. SQL, Hadoop/Hive) experience

  3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

  Master's degree in a quantitative field, or Bachelor's degree and 5+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience

  Experience applying theoretical models in an applied environment

  Preferred Qualifications

  Experience in Python, Perl, or another scripting language

  Experience in a ML or data scientist role with a large technology company

  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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

  Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $111,600/year in our lowest geographic market up to $212,800/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. Applicants should apply via our internal or external career site.

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