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PhD Economics Intern - Reduced Form Causal Inference, Summer 2027

Amazon.com Inc
  • Seattle, WA
    1 day ago

    Job Description

    Amazon Economics is seeking Reduced Form Causal Analysis (RFCA) Economist Interns who are passionate about applying econometric methods to solve real-world business challenges. RFCA represents the largest group of economists at Amazon, and these core econometric methods are fundamental to economic analysis across the company. In this a full-time internship (40 hours per week, with hourly compensation). You"ll work with large-scale datasets to analyze causal relationships and inform strategic business decisions, gaining hands-on experience that"s directly applicable to dissertation writing and future career placement.

    By applying to this role, you are automatically being considered for all our available RFCA internships in 2027.

    Key job responsibilities

    As an RFCA Economist Intern, you"ll specialize in econometric analysis to determine causal relationships in complex business environments. Your responsibilities include:

    • Analyze large-scale datasets using advanced econometric techniques to solve complex business challenges
    • Applying econometric techniques such as regression analysis, binary variable models, cross-section and panel data analysis, instrumental variables, and treatment effects estimation
    • Utilizing advanced methods including differences-in-differences, propensity score matching, synthetic controls, and experimental design
    • Building datasets and performing data analysis at scale
    • Collaborating with economists, scientists, and business leaders to develop data-driven insights and strategic recommendations
    • Tackling diverse challenges including program evaluation, elasticity estimation, customer behavior analysis, and predictive modeling that accounts for seasonality and time trends
    • Build and refine comprehensive datasets for in-depth economic analysis
    • Present complex analytical findings to business leaders and stakeholders

    Numbers & Facts

    LocationSeattle, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Analysis Skillsunmatched
    • Customer/Consumer Behaviorunmatched
    • Data Analysisunmatched
    • Data Setsunmatched
    • Economic Analysisunmatched
    • Economicsunmatched
    • Experiment Designunmatched
    • Financial Trend Analysisunmatched
    • Fundamental Analysisunmatched
    • Predictive Modelingunmatched
    • Program Evaluationunmatched

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