Data Scientist

Seattle, Washington, USA

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Posted 2 weeks ago

Hundreds of millions of customers, billions of transactions, petabytes of data… How to use the world’s richest collection of e-commerce data to provide superior value and better paying experience to customers? The Amazon Payments Team manages all Amazon branded payment offerings globally. These offerings are growing rapidly and we are continuously adding new market-leading features and launching new products. has a culture of data-driven decision-making and demands business intelligence that is timely, accurate, and actionable. This team provides a fast-paced environment where every day brings new challenges and new opportunities.
Our team of high caliber software developers, data scientists, statisticians, business analysts and product managers use rigorous quantitative approaches to ensure that we target the right product to the right customer at the right moment, managing tradeoffs between click through rate, approval rates and lifetime value. In order to accomplish this we leverage the wealth of Amazon’s information to build a wide range of probabilistic models, set up experiments that ensure that we are thriving to reach global optimums and leverage Amazon’s technological infrastructure to display the right offerings in real time.
We are seeking a strong, business savvy Data Scientist to tackle the growing complexity of our international business by developing models, data-driven insights, and frameworks to better serve our customers around the world.
Responsibilities include:
· Model development
· Testing multiple hypothesis
· Identify opportunities and key criteria to drive analytical reporting.
· Conducting deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership.
· Producing written recommendations and insights for key stakeholders that will help shape effective metric development and reporting.
· Simplifying and automating reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders.
· Recognizing and adopting best practices in reporting and analysis: data integrity, analysis, and documentation.
· Supporting business with time-critical tactical data analyses.
· Understanding a broad range of Amazon’s data resources and know how, when, and which to use and which not to use.

Basic Qualifications

· Bachelor's degree
· 5+ years of relevant work experience in business analytics, data science, predictive analytics
· Strong proficiency in relational databases - e.g. SQL, Redshift, Data Warehouse, etc.
· Deep understanding of various algorithms and well versed with scikit learn, pandas, numpy, seaborn, matplotlib etc.
· Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams
· An ability to thrive in a highly ambiguous, fast-paced and rapidly-changing environment
· Ability to lead large projects and drive through completion

Preferred Qualifications

· Familiarity with AWS solutions such as EC2, S3, RDS etc.
· Financial service experience is a plus
Job tags: AWS Business Intelligence NumPy Pandas Redshift Seaborn SQL