Sr. Applied Scientist, Amazon Business

Key Skills

Java Programming, Python Programming, C++, SQL, AWS, B2B, Machine learning techniques, A/B Testing, Amazon Athena, Statistics, Amazon RedShift, MxNet, Amazon Elastic Compute Cloud-EC2, AWS Sagemaker, Lambda, Mathematics, Data Analysis

Job Description

Amazon Business Supplier Experience Science team is looking for Sr. Applied Scientist to excel at product and service pricing, selection, forecast and optimization. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need leaders who can think big and drive big vision into a reality. Please come to work with us if you are result driven, think big, and want to have fun and make a history.

You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.

The ideal candidate will have outstanding leadership skills, proven ability to develop, enhance, automate, and manage science models from end to end. The ideal candidate will have strong data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have demonstrated ability to manage medium-scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes.

Key job responsibilities

• Contribute to supplier operations strategy development based on science models and data analysis
• Develop models to measure long term impact of seller behaviors
• Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.
• Use optimization, statistical, machine learning and analytical techniques to create scalable solutions for business problems.
• Design, development and evaluation of highly innovative models for forecast, optimization and experimentation.
• Research, experiment and implement novel approaches.
• Work closely with other scientists in the team and across teams.
• Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.
• Use the best practices in science: data integrity, design, test, and implementation and documentation.
• Mentor and guide junior members in the team.
• Contribute to Amazon's Intellectual Property through patents and internal and external publications

A day in the life

The scientist will develop, enhance, automate, and manage science models from end to end. The scientist will also have the opportunity to present findings to cross functional team partners to drive improvements. He/she will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to build analytical and science models. The scientist will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving.

About the team

Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.

BASIC QUALIFICATIONS

• PhD degree with 4 years of applied research experience or a Masters degree and 6+ years of experience of applied research experience
• 3+ years of experience in building machine learning models for business application
• Experience programming in Java, C++, Python or related language

• Master fundamentals of mathematics and statistics.

• Master SQL.

PREFERRED QUALIFICATIONS

• PhD in Mathematics, Statistics, Computer Science, Engineering or related discipline
• Familiar with AWS solutions such as MxNet, SageMaker, Lambda, EC2, ECS, Redshift and Athena.
• Success track record of innovating through statistical and machine learning algorithms and their applications.
• Excellent written and verbal communication with both technical and business audiences
• Experience working with engineers to deploy quantitative models in production
• Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner