Walmart Inc.
Location
Bentonville, AR | United States
Job description
THIS ROLE IS NOT SPONSORABLE. Please apply with both a resume and unofficial transcript to be considered.
Walmart sells hundreds of billions of dollars a year in merchandise, manages thousands of stores and distribution centers, employs more than one million people, and operates a fast-growing marketplace and ads business. Walmart’s scale and the complexity of its problems necessitate careful, sophisticated analysis. The Walmart Economics team is responsible for applying the latest insights and methods from academia to drive Walmart’s decision making and continued transformation.
The Walmart Economics team is growing quickly. Economists on the team work with the Chief Economist on projects across the company, including:
Optimizing pricing
Growing membership and subscriptions
Increasing our sustainability
Developing a thriving marketplace
You will partner with business and tech teams to use tools from Economics to understand the causal impact of decisions, identify and optimize tradeoffs, and drive strategy using first principles.
Responsibilities:
Designing and analyzing experiments – Guide decision making by ensuring we understand the impact of potential changes through careful experimentation
Performing causal inference – Leverage the latest in econometrics and statistics to understand the effect of changes we cannot run experimentally
Framing and evaluating trade-offs – Define and weigh business trade-offs to drive strategic decisions under uncertainty
Applying behavioral economics – Use an understanding of behavioral economics to inform user experience design
Experience:
Fourth year undergraduate majoring in a quantitative field (e.g., Economics, Math, Statistics, Engineering, Computer Science)
Experience with analyzing large datasets (ideally coding in SQL, R, or Python) is a plus
Passion for economics or experience assisting with academic research
You’re curious and a self-starter, naturally interested in learning more
You’re collaborative and uplift your team when you partner with others
You enjoy hard problems
You have knowledge of experimentation and causal inference methods
Benefits & perks:
Beyond a great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more.
Who we are:
Join Walmart and your work could help over 260 million global customers live better every week. Yes, we are the Fortune #1 company. But you’ll quickly find we’re a company who wants you to feel comfortable bringing your whole self to work. A career at Walmart is where the world’s most complex challenges meet a kinder way of life. Our mission spreads far beyond the walls of our stores. Join us and you'll discover why we are a world leader in diversity and inclusion, sustainability, and community involvement. From day one, you’ll be empowered and equipped to do the best work of your life.
Office Environment: Corporate
U.S. Hub Locations: Bentonville, AR
Minimum Qualifications:
· Must be enrolled in a Bachelor’s degree program currently
· Expected graduation date between December 2023-June 2024
· Transcript must be readily available for review
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Job tags
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