Overview

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 tens of millions of products to find the most relevant products for our customers. Team members take end-end responsibility in analyzing large amounts of data, creating complex models, improving their accuracy and deploying these models to serve customers.

Responsibilities

Measurement: Define, invent, and deliver metrics which accurately measure the quality of eCommerce search and the customer satisfaction/success.
Models: Develop ML models to measure/predict the quality of online results.
Design: Think critically about sampling and experimental design. Develop innovative strategies and products in these areas.
Online Experimentation: Experience in designing A/B tests.
Crowdsourcing: Apply behavioral insights, game theory, and social scientific understanding to measure and improve the performance of judgement effort.
Cooperation: Partner effectively with program management, engineers, and other areas of the business.

Company:

Walmart Global Tech

Qualifications:

Required Qualifications:

PhD or MS Degree in data science or related fields (computer science, computational linguistics, statistics, economics, physics, etc)
2+ years of industry data science and programming experience
Preferred Qualifications

5+ years of industry data science and programming experience
Publications in leading conferences and journals on topics related to search, evaluation, and related machine-learning problems.
Experience with human-in-the-loop evaluation.
Experience with real world system building and data collection, including design, coding and evaluation
Customer focused, strategic, drives for results, is self-motivated, and has a propensity for action
Fantastic problem solver: ability to solve problems that the world has not solved before.

Educational level:

Master Degree

Level of experience (years):

Mid Career (2+ years of experience)

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