Java Programming, Leadership, Python Programming, Database, SQL, AWS, Big Data Technology, Data Modeling, R Programming, Amazon RedShift, Statistical modeling, Mathematical modeling, Data Analysis
Job summary
Amazon Business (www.amazon.com/business (http://www.amazon.com/business)) is an online store that combines the selection, convenience and value customers have come to know and love from Amazon, with new features and unique benefits tailored to the needs of businesses. Amazon Business (AB) provides easy access to hundreds of millions of products – everything from IT and lab equipment to education and food-service supplies. Amazon Business customers also enjoy a variety of benefits, including business-only pricing and selection, a multi-seller marketplace, single- or multi-user business accounts, approval workflow, purchasing system integrations, payment solutions, tax exemptions, dedicated customer support, Business Prime and more.
Virtual Customer Advisor (VCA) team builds a suite of products which deliver relevant and timely recommendations to our customers globally (US, CA, EU & JP) using multiple data sources to improve a) AB adoption and b) Sales productivity. Sales and Marketing teams teams leverage VCA to identify which customers to target, what features to target them with, and when to target them, in order to capture their share of wallet.
VCA team’s mission is to (a) improve sales productivity by providing actionable insights and (b) improve Amazon Business adoption by customers. VCA uses data sciences and automation to provide several key features for Customer Advisors (CAs): 1) Account Scores that help CAs prioritize top accounts (existing and prospects), 2) Recommendations that help CAs sell/position the right AB product features, 3) Alerts that provide insights into their territory and real-time notification of notable events.
The VCA team is looking for an experienced and motivated Data Scientist to generate data-driven insights influencing the Amazon Business direction, build the necessary predictive models, optimization algorithms and customer journey analysis, personalization and behavioral segments allowing us to discover and expand the value proposition of Amazon Business Features to the customers.
This role can be located out of any of the Amazon Business locations in the United States, which include Austin TX, Boston MA, Arlington VA, Chicago IL, New York NY, Tempe AZ. Seattle WA- is preferred and full relocation would be provided to these locations.
Key job responsibilities
In this role, you will be a technical expert with significant scope and impact. You will work with Senior Technical Product Managers, Data Engineers, other Data Scientists, Business Intelligence Engineers, Financial Analysts, and Software Engineers, to build new and enhance existing ML models to optimize customer experience. The successful Data Scientist will have extreme bias for action needed in a fast paced environment, with outstanding leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon.com, Inc. is an American multinational technology company with operations in cloud computing, streaming media, artificial intelligence, and e-commerce. The company has been referred to as one of the most influential economic and cultural forces in the world, and it is one of the world's most valuable brands.
Vancouver, BC, Canada
2-4 year
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2-4 year
Vancouver, BC, Canada
2-4 year
Toronto, ON, Canada
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Vancouver, BC, Canada
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New York, NY, USA
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Seattle, WA, USA
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Irvine, CA, USA
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