Job Information
Amazon Data Scientist, MAPLE in Seattle, Washington
Description
Are you an experienced data scientist who wants to develop algorithms to help grow Amazon's financial services?
The Amazon Payment Products team needs a Data Scientist to develop the algorithms which power our new marketing tooling which we use to grow our financial services portfolio, driving a measurable P&L impact and creating an amazing customer experience.
Key job responsibilities
Develop and apply new machine learning algorithms
Use expertise in supervised and uplift learning algorithms to improve ML performance
Scale optimization techniques to drive business value
Design A/B tests and conduct statistical analysis on their results
Work closely with internal stakeholders like the business teams, engineering teams and partner teams and align them with respect to your focus area
Present and publish science research, contributing to Amazon's science community
Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers
Implement and operate stable, scalable data flow solutions from production systems into end-user facing applications.
About the team
Our team's mission is to surface the right payments-related recommendations to customers at the right time, helping create a rewarding and successful shopping experience for Amazon's customers. Our team's culture is highly collaborative, with an emphasis on supporting each other and learning from one another. We dedicate time each week to focus on personal development and expanding our knowledge as a team. We also highly value having a big impact, both for Amazon's business and for our customers.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
Basic Qualifications
4+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
3+ years of data scientist experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance 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
Experience with uplift modeling techniques and/or heterogenous treatment effect estimation
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 $125,500/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. This position will remain posted until filled. Applicants should apply via our internal or external career site.