Senior, Data Scientist | Search Ranking Team

Position Summary...

What you'll do...

We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on the web site, phone or the iPad, our service goes to work. We mine billions of search queries and hundreds of millions of products to find the most relevant products for our customers. Team members take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers.

As part of this team, you'll solve some of the most fascinating and impactful problems in machine learning, information retrieval, NLP or computer vision problems. The algorithms you develop will champion customers need to express their intent and our goal to understand their preferences, implicitly or explicitly, across devices and modalities (voice, text, image etc.). You will develop and deploy machine learned models, to engage and converse with our customers and to understand their goals and expectations to enable them to make the right purchase decision. Your work will be visible to millions of customers and you will have a direct impact on the goals of the Fortune #1 enterprise. If you speak and think machine learning then we want to talk to you. Come join our team and be part of this exciting journey. We are at the forefront of attacking one of the most complex problems of e-commerce. Whenever a user types in a query or browses through product categories on the web site, phone or the iPad, our service goes to work. We mine billions of search queries and hundreds of millions of products to find the most relevant products for our customers. Team members take end-to-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers.

About Team:
Search Algorithm Team is dedicated to helping millions of customers find the ideal products every day. As part of the Ranking Team, your primary focus will be to enhance one of the key facets of product search - optimizing the ranking of relevant products based on multiple factors such as GMV, conversion, diversity, and cold start.  

What you'll do:

• Applying machine learning ranking algorithms to maximize the relevance of search system and minimize risks.
• Building, validating, testing and deploying predictive models using machine learning techniques to explain or predict behavior and solve a variety of business and engineering problems.
• Identifying, collecting, and exploring the right data used for predictive modeling and algorithm development.
• Performing and leading developments using machine learning techniques in one or more of the key areas like natural language processing, computer vision, information retrieval, entity recognition, product classification, and recommender system.

What you'll bring:

• Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics or related fields.
• You have 3+ years of work and research experience in the machine learning field with a deep understanding of machine learning and interest in applying it at scale.
• You have experience with data cleaning, preparation, and featurization and selection techniques.
• You have experience working with large datasets to solve problems.
• You have experience with deep learning library like TensorFlow and/or PyTorch is highly desirable as well as experience with Spark and