Sr. Data Scientist, Amazon Fashion

Job description

DESCRIPTION

The Amazon Fashion catalog spans millions of items and variations ranging from high fashion to everyday wear. With a large, varied, and growing selection, we are looking for innovative ways to build a catalog that represents a single source of truth to drive product discovery, personalization, and a world-class customer experience.

Downstream services such as product recommenders and browsing experiences are dependent upon high quality and consistent catalog attributes. To optimize these inputs, we will need to manage massive quantities of data and find novel ways to apply statistics and machine learning to complex business problems.

The Amazon Fashion team is looking for an experienced Data Scientist to apply quantitative solutions to these business problems and connect customers to the products they love. You will be at the intersection of statistics, machine learning, data visualization, and business/product management. You will work closely with a multidisciplinary team to design solutions that impact millions of customers, sometimes from the ground up, and apply models and algorithms in real-time systems at a very large scale.

The ideal candidate is a general athlete with broad exposure to data and math/stats (i.e. experimental design, modeling, algorithms). They should be comfortable working with large-scale unstructured data to uncover key insights. They should be able to ask the right questions, prioritize, and communicate/align across both technical and non-technical stakeholders. This candidate exemplifies bias for action, the desire to continuously invent and simplify, and most importantly, a genuine curiosity and passion for learning.

Roles and Responsibilities:
· Explore unstructured data and determine catalog improvement opportunities and business impact
· Design and conduct experiments to test and learn
· Investigate the feasibility of ML or statistical techniques to business problems and products
· Rapidly prototype with off-the-shelf models and assess business impact
· Work with engineers and scientists to build requirements and productionize models
· Communicate business/technical requirements in a way that is consumable by engineers and business stakeholders
· Assist in the scrum process and operational project planning

Desired profile

BASIC QUALIFICATIONS

· BS in Engineering or other technical/quantitative discipline
· Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
· Experience conducting large scale data analysis to support business decision making
· Proficiency in SQL and manipulating unstructured datasets
· Proficiency in at least one modern programming language (i.e. Java, Python, C++, Scala, R, etc.)
· Solid foundation in statistics and ML