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#WALMART BUSINESS INTELLIGENCE STRATEGY CODE#
This challenge is most likely done in Hackerrank and will involve writing Pandas and Python code to manipulate a dataset. Generally, depending on the seniority of the role, Walmart may send a take-home challenge after the recruiter call to make sure you can pass a technical baseline. Note that there may be some basic technical elements in the interview to make sure your resume matches your experience. This interview is often non-technical and may include a brief run-down of your resume, a discussion of past projects relevant to the team you are applying for, and potential team members you will be meeting. Walmart’s initial phone screen is done over a 30 minutes phone call with a recruiter. See interview guides for other companies like NVIDIA and Robinhood. After passing the take-home and technical interview, you will then progress to the onsite interview comprising 4 to 5 one-on-one interviews with various team members. Generally, the interview process starts with a 30 minutes initial phone call with recruiting and then a take-home challenge or technical interview with a team manager. Walmart has a similar interview process to most big tech companies.
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Excellent working knowledge of statistics, mathematics, and machine learning algorithms.Ability to work with large data sets, scale algorithms to a large dataset, and a sound understanding of big data technology stack.4 years experience with statistical and Numerical programming languages (for example, SAS, R, Python, and SQL).4 years of experience with SQL and relational databases (for example, DB2, Oracle, SQL Server, etc.).The minimum requirement for a data science position at Walmart is an undergraduate degree with at least three years of experience. Required SkillsĪlthough the requirement for hire at Walmart may, to some extent, depend on the needs of a particular team, Walmart usually has a general hiring requirement for a data scientist position. General data scientist roles at Walmart span business analytics, statistical modeling, big data analytics, machine learning, and deep learning implementation with skillsets and tools ranging from simple data analytics/business intelligence tools to machine learning implementations. The technology teams fall under an umbrella named Walmart Labs, with teams such as: Walmart has a data science and analytics department with many roles like data scientist, data analyst, big data engineer, and tech architect embedded within their different product teams. Within this data, café are over 200 streams of internal and external data that can be manipulated and visualized to generate business-impact insights.
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To make sense of the data, Walmart launched the Data Café Analytics Hub, a state-of-the-art analytics hub that can process 2.5 petabytes of data every hour. With over 70 million different products sold at Walmart and over 275 million weekly customers, Walmart generates a huge amount of sales data across stores worldwide daily. According to 2019 statistics, Walmart is the world’s largest company by revenue, with US$514.405 billion, and also the world’s largest private employer with over 2.2 million employees. Founded in 1962 and headquartered in Bentonville, Arkansas, the company operates a chain of hypermarkets, discount department stores, grocery stores across the world, and Sam’s Club retail warehouses. is an American multinational retail corporation and the world’s biggest retailer with over 20,000 stores and clubs in over 28 countries worldwide.