Applied Scientist, Shopbop Catalog Engineering, Mid-Level
: Job Details :

Applied Scientist, Shopbop Catalog Engineering, Mid-Level

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Applied Scientist, Shopbop Catalog Engineering, Mid-Level

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Shopbop is a leading fashion retailer, and part of the Amazon family of companies. The Applied Scientist will partner with business leaders, software teams, and data engineers to create models and innovations that advance Shopbop's business, focusing on building science-enabled pipelines and mentoring technologists.

Responsibilities:

• Identify the right models and mechanisms to use to solve ambiguous science problems

• Build development plans to launch new science features

• Oversee work of peer SDEs on science initiatives

• Develop critical path code for critical science features

• Align senior leadership and developers on approach

Qualifications:

Required:

• 3+ years of building machine learning models for business application experience

• PhD, or Master's degree and 6+ years of applied research experience

• Experience programming in Java, C++, Python or related language

• Experience with neural deep learning methods and machine learning

Preferred:

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

• Experience with large scale distributed systems such as Hadoop, Spark etc.

Company:

Shopbop is the global online retail destination for style inspiration and discovery, offering customers all over the world a comprehensive, hand-picked selection of ready-to-wear apparel and accessories from over 1,000 established and emerging designers. Founded in , the company is headquartered in Madison, WI, US, with a team of 201-500 employees. The company is currently Growth Stage. Shopbop has a track record of offering H1B sponsorships.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• IndustriesSoftware Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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