Data Scientist , WW SMB Marketing

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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

• Master’s degree in a quantitative field (Statistics, Economics, Mathematics, Computer Science etc).
  • 5 years of professional experience in data analysis, data modelling and data science field.
  • 2 years of experience in developing data models and database harmonization
  • Very comfortable with developing, implementing, managing and executing through influence across a cross-functional set of senior stakeholders
  • ‘Invent and simply’ mindset. Data driven but comfortable with ambiguity. Exceptional problem-solver. Adept at simplifying complexity and developing scalable propositions.
  • Proven track record of taking ownership and driving results. Ability to effectively lead and work with a variety of organizations, management levels, cultures, and personalities.
  • Exceptional interpersonal and communication (both written and verbal) skills. Experience communicating with both technical and non-technical stakeholders across multiple teams.
  
  

PREFERRED QUALIFICATIONS

• Professional experience in using statistical program software (SAS, SPSS), programming languages (R, Python) and database programming (SQL)
  • Passion for SMB customers – deep curiosity to understand how SMBs are adopting cloud and how to accelerate their cloud journey.
  • Applied experience in developing Machine learning models on large data sets
  • Ability to translate business questions into statistical models
  • Experience working as a data scientist in technology industry
  • Project Management Experience