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EMEA Data Scientist Growth Marketing 273 views

Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up businesses and organizations globally.

They are looking for a highly analytical and detail-oriented individual with experience in building and implementing data science models to join the newly formed EMEA Growth Marketing team.

Customers are at the core of everything AWS does and understanding them is the most critical element of that relationship. EMEA Growth Marketing team works from the customer backward and they are looking for the growth marketing data scientist to build quantitative strategies to help them do that by transforming, analyzing and interpreting huge data sets. Data Scientists reside across multiple horizons in AWS and this role will have a major impact in identifying customer needs and building matching product portfolio recommendations to help address those needs. The data scientist role is much more than a number cruncher or mathematical model builder, you will be helping in building a customer focussed and data-backed narrative on which the growth marketing team will be run. The data scientist work portfolio would help define internal resource allocation along with building an ambitious goal-setting framework for the business.

Roles & Responsibilities

  • Develop a framework for recommending optimal allocation of resources for the growth marketing team driving growth and ROI optimization
  • Build a forecasting platform to drive bottoms up goal setting for the growth marketing team
  • Develop an A/B testing framework to deploy on growth marketing experiments, scale the framework to the wider EMEA marketing organization
  • Conduct sentimental analysis of customer preferences to help tailor growth marketing campaigns
  • Work with resident growth marketing analysts to convert mathematical recommendations to business narratives
    Basic Qualifications
  • Masters degree in a quantitative field (Statistics, Quantitative Finance, Economics, Computer Science, Mathematics, Physics, Computational Biology, Operational Research) or equivalent practical experience.
  • 5+ years of professional experience in data analysis, data mining, data science field.
  • 2+ years of professional or academic experience in building quantitative frameworks related to linear models, multivariate analysis, stochastic models, sampling
  • 5+ years of professional or academic experience in using statistical program software (SAS, SPSS, MATLAB) and programming languages (R, Python, Pandas) and database programming (SQL).

Preferred Qualifications

  • Doctorate in a quantitative field (Statistics, Quantitative Finance, Economics, Computer Science, Mathematics, Physics, Computational Biology, Operational Research, and BioInformatics)
  • Experience in programming Go, Scala, TensorFlow, SageMaker
  • Applied experience in developing ML (Machine Learning) models on large data sets
  • Ability to articulate business questions using quantitative techniques and present findings back to business stakeholders in a clear way
  • Experience working as a data scientist or research scientist in finance (FinTech) or technology industry

Amazon Web Services is an equal opportunity employer. They believe passionately that employing a diverse workforce is central to their success. They make recruiting decisions based on your experience and skills. They value your passion to discover, invent, simplify and build.

Basic Qualifications

  • Masters degree in a quantitative field (Statistics, Quantitative Finance, Economics, Computer Science, Mathematics, Physics, Computational Biology, Operational Research) or equivalent practical experience.
  • 5+ years of professional experience in data analysis, data mining, data science field.
  • 2+ years of professional or academic experience in building quantitative frameworks related to linear models, multivariate analysis, stochastic models, sampling
  • 5+ years of professional or academic experience in using statistical program software (SAS, SPSS, MATLAB) and programming languages (R, Python, Pandas) and database programming (SQL).

Preferred Qualifications

  • Doctorate in a quantitative field (Statistics, Quantitative Finance, Economics, Computer Science, Mathematics, Physics, Computational Biology, Operational Research, and BioInformatics)
  • Experience in programming Go, Scala, TensorFlow, SageMaker
  • Applied experience in developing ML (Machine Learning) models on large data sets
  • Ability to articulate business questions using quantitative techniques and present findings back to business stakeholders in a clear way
  • Experience working as a data scientist or research scientist in finance (FinTech) or technology industry

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