Senior Data Scientist

 You will work with a highly talented and fast-moving team to focus on improving and deepening our understanding of core businesses. Search is what we do, and optimizing search is the key to our future success. Your goal will be to extract meaning from the data and advise our product and business teams on your findings. Tell us a story based on your findings about search, sort, relevance, and even our recommendation algorithm to assist in developing the product road map to better suit our end-users. You must be self-directed, deeply curious, collaborative, and an excellent communicator. This position will bring analytical rigor and statistical methods to the challenges of measuring and understanding the behavior of the millions of daily shoppers.

In this role you will:

• Research, develop, and apply methods for measuring and analyzing the performance of our shopping search engine.
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• Develop new search algorithms and methods for optimizing the value to end-users and improve customer retention.
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• Research new ways for modeling and predicting end-user behavior.
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• Lead investigation streams of product data, advise product team on new features and modules based on findings.
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• Design, conduct, and analyze A/B tests.
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• Design experiments to answer targeted questions.
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Requirements:

• Minimum of a MS in a quantitative discipline such as Statistics and/or Applied Mathematics.
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• At least 5 years of hands-on experience applying statistical techniques to large data sets.
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• At least 5 years of hands-on experience with search engine algorithms and technology.
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• Proficiency with various statistical techniques including regression, support vector machines, bagging, boosting, decision trees, lifetime analysis, clustering, recommendation systems, etc.
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• Demonstrated proficiency in SQL, and tools like SAS, Matlab, or R.
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• Comfortable writing code in Python, Scala and/or Java.
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• Ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems.
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• Demonstrated self-direction.
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Nice to Haves:

• Experience with Redshift, MySQL, Hadoop/Spark, Cassandra and Amazon AWS.
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• Experience with Lucene and SOLR search platforms.
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• E-commerce domain expertise.
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• Love shopping and fashion.
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