Data Scientist

Austin, Texas, USA

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Posted 3 weeks ago

Amazon Business (AB) is a marketplace on that combines the selection, convenience and value customers have come to know and love from Amazon, with new business features and unique benefits that address the needs of businesses. Business customers want to leverage AB to access millions of products, business-only selection, free two-day shipping, business pricing, multi-user business accounts, approval workflow, business payment solutions, tax exemptions, dedicated business customer support and much more.

We are looking for an experienced and motivated Data Scientist to be part of the Business Customer Profile team, and help build an authoritative system with a comprehensive understanding of businesses using the AB marketplace. Our data will be used to provide business customers with a more personalized experience, and influence customer experience at different touch points, such as the home page or search results, more relevant product recommendations, ads and deals.

In this role, you will be a technical expert with significant scope and impact. You will work with Business Intelligence Engineers, Financial Analysts, Product Managers, Software Engineers, Data Engineers, and other Data Scientists, 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 startup 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.

This is a rare opportunity to make a real impact at Amazon.

Basic Qualifications

· Master’s degree with two years of relevant experience or a Bachelor’s degree with 5 years relevant experience, in a highly quantitative field (Machine Learning, AI, Computer Science, Statistics, Mathematics, Operational Research, etc.), or equivalent professional or military experience working as a Data Scientist.
· Hands-on industry experience in predictive modeling and analysis, as an ML engineer or data scientist role, applying various ML techniques, and understanding the key parameters that affect their performance.
· Experience with R, Weka, SAS, SPSS, Matlab or other statistical/machine learning software.
· Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data.
· Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.).
· Experienced in handling terabyte-sized data sets, diving into data to discover hidden patterns, using data visualization tools, using SQL and databases in a business environment.
· Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge, educating them about our systems, as well as sharing insights and data-driven recommendations.

Preferred Qualifications

· 6+ years’ experience in a ML or data scientist role with a large technology company.
· Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.
· Ability to convey rigorous mathematical concepts and considerations to non-experts
· Natural curiosity and desire to learn
· Experience partnering with business owners directly to understand their requirements and provide data which can help them observe patterns and spot anomalies
· Fluency in a language other than English

Job tags: AI AWS Business Intelligence Deep Learning Machine Learning Matlab ML Pandas Python R Research Scikit-Learn SQL