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Senior Data Scientist Analytics

Amazon

London, United Kingdom

DESCRIPTION

Are you the sort of person who thrives in an environment where you have to be inventive every day because no one has done before what you are doing? The Amazon Media Group (AMG) is looking for people like you!

AMG's Shopper & Marketing Insights team develops measurement and analytics products; drives platform development and provides consultative research services to advertisers to maximize their success on our platforms. We partner with some of the largest global brands and help them raise the impact of their digital marketing activities on and off Amazon. Through the engagements and data-driven consultancy to Amazon's strategic advertising partners we are constantly identifying opportunities for advancing AMG's reporting and insight capabilities. We are now looking for a Data Scientist (m/f) who can not only help us prototype these new capabilities but also scale them and drive user adoption and business impact.

If you are looking for a role that allows you to leverage your strong hands-on technical expertise to create new analytics products, then this might just be the job opening you have been searching for! You will have the opportunity to use cutting-technologies powered by Amazon Web Services (including but not limited to EMR/Spark, RDS, AWS Lambda and Redshift).

BASIC QUALIFICATIONS

· Bachelor of Science in Computer Science, Computer Engineering, Statistics, Mathematics, or Economics
· Substantial experience as a Software Development Engineer, Data Engineer, Business Intelligence Engineer or Data Scientist.
· Proficient in Data Engineering, database architecture and data warehouse. Excellent SQL skills.
· Excellent problem solving ability.
· Demonstrable coding experience (Python, R, Scala, Java…).
· Good understanding of statistics.
· Experience working with large datasets.
· Previous experience of data analytic, ideally in an e-commerce environment.
· Ability to work in a fast paced environment where continuous innovation is desired.
· Enthusiastic about learning new technologies and be able to implement solutions.
· Ability to communicate with both technical and non-technical individuals.

PREFERRED QUALIFICATIONS

· Master in Computer Science, Computer Engineering, Statistics or Mathematics
· A deep industry experience in data warehousing, ETL and BI architecture.
· Advanced experience with distributed systems (Hadoop, Spark...).
· A first-hand working knowledge of Machine Learning and Data Science.
· Strong working knowledge of Tableau.
· Digital advertising and e-commerce experience would be a bonus.

Apply


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