Amazon.com Services LLC
Economics, Economist, global corporate
Intern-Economics(RFCA)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Intern - Economics (RFCA) at Amazon.com Services LLC. Skills: Econometrics, Causal analysis, Data analysis. Analyze large-scale datasets. Apply econometric techniques”
What You'll Achieve.
Inform strategic business decisions
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
Enrolled in PhD program, Proficiency in Stata, R, or Python, Foundation in econometric methods, Foundation in statistical analysis, Analytical skills, Problem-solving skills
Nice to Have
Experience with SQL, Experience with UNIX, Experience with Sawtooth, Experience with Spark, PhD preferred
What You'll Do.
Analyze large-scale datasets
Apply econometric techniques
Utilize advanced methods
Perform data analysis at scale
Collaborate with economists
Develop data-driven insights
Develop strategic recommendations
Tackle diverse challenges
Build comprehensive datasets
Refine comprehensive datasets
Present analytical findings
How You'll Work.
Team & Collaboration
Collaborate with economists; Collaborate with scientists; Collaborate with business leaders
Communication Scope
Present findings
Full 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 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. 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 Basic Qualifications: - Applicants must be enrolled in at least the third year of a PhD program in Economics or a related quantitative field and not currently on the job market - Proficiency in statistical programming languages (Stata, R, o
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