Data Scientist, Amazon Advertising Impact Team

Key Skills

Java Programming, Analytical and Problem solving, Python Programming, SQL, Agile methodologies, Machine learning techniques, Data science techniques, R Programming, Statistics, Statistical modeling, Mathematics, Large data sets

Job Description

Amazon's Advertising Impact Team is looking for a Data Scientist to help and be part of a team to put cutting edge economic and data science advertising research into production. We are looking for a unique individual who is interested in bigger picture strategic thinking but with the passion for big data, machine learning and experimentation.

This team is responsible for modeling short-term and long-term customer behavior in relation to advertising using state of the art econometrics and machine learning techniques and sizing and running experiments. This role requires presenting results to some of the most senior leaders of the company.

If you have a background in economics, statistics, mathematics, or a related quantitative field and have a passion for solving large, impactful problems, this is the job for you.

About Amazon's advertising business:

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

Key job responsibilities

• Use machine learning and statistical modeling techniques to create scalable solutions for business problems
• Analyze and extract relevant information from large amounts of Amazon's historical and experimental data to derive actionable insights
• Improve upon existing methodologies for supporting new data sources, implementing model enhancements, and fine-tuning model parameters.
• Work closely with software and data engineers on production model implementation

BASIC QUALIFICATIONS

• Bachelor's Degree in Statistics, Applied Math, Economics, Computer Science, or a related quantitative field with at least 3 years of working experience as a Data Scientist
• 1+ years of experience with data scripting languages (e.g.: SQL, Python, R etc.) and statistical/machine learning softwares/libraries
• Experienced in handling large data sets in a business environment
• Experience applying various econometric and machine learning techniques, and understanding their interpretation and performance

PREFERRED QUALIFICATIONS

• Advanced degree in Statistics, Applied Math, Economics, Computer Science, or a related quantitative field with 2+ years of working experience as a Data Scientist
• Experience working with econometric models on causal impact questions
• Excellent communication (written and verbal) and data presentation skills
• Strong troubleshooting and problem-solving skills
• Ability to thrive in a fast-paced, innovative environment