Data Scientist, Cross Channel Marketing - Tech

Key Skills

Java Programming, Leadership, Design, Python Programming, SQL, AWS, Scala Programming, Machine learning techniques, Data science techniques, R Programming, PySpark, AWS Sagemaker, Amazon Simple Storage Service (S3), Mathematics

Job Description

Amazon is one of the most-loved brands in the US. This Data Scientist will help measure the efficacy of marketing campaigns using causal inference techniques, so that Amazon can continue to delight customers by serving the right creative at the right time. You will sit in a blended Data and Engineering team serving Global Marketing teams.

We are a team with broad reach tackling issues that have never been solved before, which brings the opportunity to invent and make an outsized impact with your work. We have deep partnerships with other science organizations at Amazon, and leverage partnerships to drive adoption of our tools across a very broad audience.

Key job responsibilities

• Use statistical and machine learning techniques to measure the causal impact of marketing campaigns on customer behavior;
• Design, build, test, and deploy measurement models using ML techniques on big data end-to-end, using the latest AWS technologies.
• Advocate for the right channel experimental design to influence long term product roadmaps.
• Advise senior leadership, both tech and non-tech, on channel strategy and implications of model design decisions.

BASIC QUALIFICATIONS

• Bachelor’s degree in Statistics / Applied Mathematics / Operation Research / Engineering / Data Science or other related quantitative fields.
• 2+ years working experience as a Data Scientist or related positions.
• Proficiency in scripting, querying and/or analytics tools, such as Python, R, SQL or similar.
• Proficient with various statistics and machine learning techniques

PREFERRED QUALIFICATIONS

• Experience with Python, Java, Scala, or another scripting language.
• Proficient in SQL and PySpark.
• Functional knowledge of AWS platforms such as S3, Glue, Athena, Sagemaker.