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:

Chicago, IL, 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.