Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow
Amazon Web Services is seeking an experienced, forward thinking business scientist with a proven track record of turning customer insights into applied marketing automation mechanisms. In this role you will have the opportunity to design and implement a data driven marketing model for the Small and Medium business segment at global level based on our globally defined SMB go to market strategy. Your main tasks will be to design a data model that integrates different data sources, define data enrichment strategies for the segment, develop ML based propensity to buy data models and implement trigger mechanisms across different internal systems. In addition to defining the overall data model for the segment, your responsibilities will also include the implementation of this model as well as the definition of semi-automated marketing motions in Marketo and Sales Force. A key requirement for your success in this role will be to effectively engage with different specialized functions within Amazon Web Services at global and regional level.
Key job responsibilities
• Design and implement propensity to buy and next best buy models based on understanding SMB buying behaviors
• Build a data lake that consolidates different existing internal and 3P databases
• Define a data mapping and data enrichment process for every marketing generated contact
• Define and implement marketing automation processes in Marketo based on demographic or technographic triggers
• Own marketing performance reporting for the SMB segment globally
BASIC QUALIFICATIONS
PREFERRED QUALIFICATIONS
Amazon Web Services, Inc. (AWS) is a subsidiary of Amazon providing on-demand cloud computing platforms and APIs to individuals, companies, and governments, on a metered pay-as-you-go basis. These cloud computing web services provide a variety of basic abstract technical infrastructure and distributed computing building blocks and tools. One of these services is Amazon Elastic Compute Cloud (EC2).
Canberra ACT, Australia
2-4 year
Sydney NSW, Australia
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year
Vancouver, BC, Canada
2-4 year