Economist, AWS Cloud Expert

3 settimane fa


Milano, Lombardia, Italia Amazon A tempo pieno
Job Title: Economist, AWS

Amazon Web Services (AWS) is seeking a highly skilled Economist to help shape the future of our company and enhance the success of our customers.

We are expanding rapidly, generating approximately $100B in annual revenue, and need to identify the interventions that are most effective in helping both existing and potential customers throughout their cloud-adoption journey.

As part of this role, you will apply advanced econometrics and machine learning techniques to determine which interventions yield the best outcomes across different stages of the customer journey, from early engagement to mature customer relationships.

Your work will center on applying causal inference and machine learning to large, complex datasets, uncovering actionable insights that directly influence AWS's strategic decisions.

You will be instrumental in developing scalable models that deepen our understanding of customer behavior and quantify the impact of marketing and sales initiatives.

By working closely with key business stakeholders, you'll ensure that AWS consistently delivers the most effective solutions tailored to the unique needs of our diverse and growing customer base.

Key Responsibilities:
  • Apply your expertise in econometrics and machine learning to evaluate the effectiveness of AWS interventions and customer engagement strategies.
  • Identify patterns and opportunities in customer data to suggest new interventions, such as credit offers, discounts, and service recommendations.
  • Formalize and document research processes, ensuring scientific rigor and knowledge sharing within Amazon's science community.
  • Communicate insights and findings effectively to business leaders across various levels of the organization, influencing strategic decision-making.

BASIC QUALIFICATIONS

PhD in Economics, Quantitative Marketing, Finance, or closely related field.

PREFERRED QUALIFICATIONS

Deep knowledge of observational causal inference methods.

Strong background in statistics methodology, applications to business problems, and/or big data.

Ability to work in a fast-paced business environment.

Strong research track record.

Effective verbal and written communications skills with both economists and non-economist audiences.



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