Offers “Amazon”

Expires soon Amazon

Sr. Data Scientist

  • Atlanta (Fulton County)
  • Studies / Statistics / Data

Job description

DESCRIPTION

Are you interested in improving the shopping experience for millions of Amazon/Fabric customers through big data and the state-of-the-art machine learning techniques? If so, you have found your new home. The Fabric Data Science and Engineering team is looking for a talented and passionate Data Scientist to drive research innovations that make shopping and discovery on Fabric.com a convenient, engaging, and delightful experience.

Does the thought of building an ensemble system of multiple Machine Learning techniques excite you? If you are results driven, know how to apply advanced Machine Learning techniques, love to work with data, are deeply technical, highly innovative and long for the opportunity to build solutions to challenging problems that directly impact the company's bottom-line, we want to talk to you.

As a Sr. Data Scientist, you will interface with business and technology partners across the organization to innovate and deliver new features to customers. You play a key role in understanding customer problems and translating them into research problems. We are looking for a science leader who has strong customer obsession, good product instinct, and the ability to see clarity in ambiguity. You are well-versed in the latest research advancement and always interested in learning. You inspire creativity and understand the power of invent and simplify. You lead a team of Data Scientists and Engineers providing architectural and design leadership.

Desired profile

BASIC QUALIFICATIONS

· M.S. in Computer Science, Operations Research, Computational Economics, Statistics, Applied Mathematics, or a related field and at least two years of work experience
· Strong background in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, feature extraction and analysis, and supervised learning, in particular predictive modeling.
· Experience with cleaning, transforming, modeling and analysis using R, Python, SAS or Matlab.
· Experience with data wrangling, SQL, and basic data modeling.
· Experience contributing to the design of automated systems.
· Superior verbal and written communication skills.

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