Interview Query
interviewquery.com › interview-guides › walmart-data-scientist
Walmart Data Scientist Interview Guide (2025 Process + Questions)
June 25, 2025 - For data science roles specifically, the assessment includes SQL queries, statistical analysis problems, and may feature a take-home assignment involving time series forecasting or machine learning problems.
SQLPad
sqlpad.io › tutorial › walmart-labs-data-scientist-interview-case-study
Walmart Data Scientist Interview Case Study - Walmart Labs personalization team Data Scientist case study. Sample coding questions including Python, SQL, Machine Learning modeling. - SQLPad.io
Spotify Data Scientist interview case study with an instamentor mentee: SQL, Python, Statistics, Product Case Study, take-home challenge.
ProjectPro
projectpro.io › blog › a collection of take-home data science challenges for 2025
A Collection of Take-Home Data Science Challenges for 2025
January 2, 2025 - But, what are the possible reasons behind it? Work on this data science challenge to find out. The goal is to use the given data of 45 Walmart stores and predict their sales for each category of products in each store.
How long does it take to get hired as a Data Scientist at Walmart?
Candidates applying for Data Scientist roles take an average of 27 days to get hired, when considering 74 user submitted interviews for this role. To compare, the hiring process at Walmart overall takes an average of 12.91 days.
glassdoor.com
glassdoor.com › interviews › data scientist › walmart
Walmart Data Scientist Interview Questions | Glassdoor
How long does it take to get hired as a Data Science Intern at Walmart Global Tech?
Candidates applying for Data Science Intern roles take an average of 39 days to get hired, when considering 13 user submitted interviews for this role. To compare, the hiring process at Walmart Global Tech overall takes an average of 36.93 days.
glassdoor.com
glassdoor.com › Interview › Walmart-Global-Tech-Data-Science-Intern-Interview-Questions-EI_IE3293060.0,19_KO20,39.htm
Walmart Global Tech Interview Experience & Questions (2025) | ...
How long does it take to get hired as a Data Scientist at Walmart Global Tech?
Candidates applying for Data Scientist roles take an average of 33 days to get hired, when considering 18 user submitted interviews for this role. To compare, the hiring process at Walmart Global Tech overall takes an average of 37.17 days.
glassdoor.com
glassdoor.com › interviews › data scientist › walmart global tech
Walmart Global Tech Data Scientist Interview Questions | Glassdoor
Glassdoor
glassdoor.com › interviews › data scientist › walmart global tech
Walmart Global Tech Data Scientist Interview Questions | Glassdoor
4 rounds in total - 1 hour python coding with time series predictiom - 24 hs take home challenge binary classification - presentation round, present what you have done - tech&behaviour questions round ... I applied through an employee referral. The process took 2 months.I interviewed at Walmart Global Tech (San Jose, CA) in Dec 2023
Correlation One
correlation-one.com › walmart
Walmart Data Science Bootcamp
September 8, 2022 - There will be an entry assessment focusing on the above data science skills. Fellows will complete technical cases that challenge them to apply their skills to real-world business use cases, to help them become effective practitioners within Walmart’s Global Tech team.
DataLemur
datalemur.com › blog › walmart-data-science
5 Ways Walmart Utilizes Data Science to Achieve Profit
Want to test your Data Science skills on real-life case studies used by Walmart? Check out these interactive Walmart SQL questions: ... Frequently Purchased Pairs If these questions feel a bit too challenging, you can always check out the Free SQL Tutorial from DataLemur for some guidance.
Glassdoor
glassdoor.com › interviews › data scientist › walmart
Walmart Data Scientist Interview Questions | Glassdoor
87 Walmart Data Scientist interview questions and 85 interview reviews. Free interview details posted anonymously by Walmart interview candidates.
YouTube
youtube.com › watch
Walmart Data Science Case Study Mock Interview: Underpricing Algorithm - YouTube
Today I am back with Shashank tackling a Walmart data science and machine learning case study interview question. Here's the question we're tackling: https:/...
Published August 4, 2020
ProjectPro
projectpro.io › blog › how big data analysis helped increase walmarts sales turnover?
How Big Data Analysis helped increase Walmart’s Sales turnover?
October 11, 2024 - A new challenge that can be solved using the Walmart dataset is to classify customer trips to the Walmart store using only transactional dataset of the products purchased so that the segmentation process can be refined.
Medium
medium.com › walmartglobaltech › data-science-in-walmart-supply-chain-technology-bdb5d6b4105c
Data Science In Walmart Supply Chain Technology | by Mingang Fu | Walmart Global Tech Blog | Medium
November 1, 2018 - · Available shipping methods and capacity (to some extent shipping costs are also taken into consideration) The major challenge in delivery promising lies in expected response time requirements which is in the milliseconds.
Accredian
blog.accredian.com › how-big-data-and-data-science-are-reshaping-walmarts-retail-philosophy
How Big Data and Data Science Are Reshaping Walmart's Retail Philosophy? - Accredian Blog
October 30, 2023 - The problem, known as the Bin Packing Problem, is a classic NP-Hard problem that challenges the skills of data scientists. To truly understand the practical applications of data science in the real world, Walmart offers a fascinating case study ...
Datainterview
datainterview.com › blog › walmart-data-scientist-interview
Walmart Data Scientist Interview in 2025 (Leaked Questions)
December 30, 2024 - Technical Challenges: Solve live exercises that test your ability to manipulate and analyze data effectively. Behavioral Interviews: Discuss past projects, collaboration, and adaptability to demonstrate cultural alignment with Walmart.
Correlation One
correlation-one.com › blog › walmart-launch
Walmart Data Science Bootcamp Launch
October 1, 2024 - The Walmart Data Science Bootcamp is a 100% free training program, which will provide comprehensive skills-based training that enables participants to advance their Data Science and retail skill set and join Walmart Global Tech's elite data ...
Walmart
walmart.com › ip › Data-Science-and-Data-Analytics-Opportunities-and-Challenges-Hardcover-9780367628826 › 993380902
Data Science and Data Analytics: Opportunities and Challenges, (Hardcover) - Walmart.com
Data Science and Data Analytics: Opportunities and Challenges, (Hardcover)
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools,
Price US$19.00
Harvard D3
d3.harvard.edu › home › submissions › walmart – an omni-channel vision with data as its core
Walmart – An omni-channel vision with data as its core - Digital Innovation and Transformation
April 21, 2020 - Thanks for writing about this! I think the piece you brought up about attracting talent is really key in Walmart’s case. It’s really challenging to drive large scale innovation without the right team in place. The high competition for tech talent, especially in the bay area and New York where their teams are located, seems like it will be a consistent challenge for the company in the future.
ResearchGate
researchgate.net › publication › 328246040_Walmart's_Sales_Data_Analysis_-_A_Big_Data_Analytics_Perspective
(PDF) Walmart's Sales Data Analysis - A Big Data Analytics Perspective
December 1, 2017 - Despite these developments, challenges such as the high computational resource demands associated with real-time data processing, ethical concerns regarding privacy and algorithmic bias, and interoperability issues across hybrid and multi-cloud environments ...
DataCamp
datacamp.com › podcast › how-walmart-leverages-data-and-ai
How Walmart Leverages Data & AI with Swati Kirti, Sr Director of Data Science at Walmart | DataCamp
April 16, 2024 - It's about finding the optimal way to solve for a problem using what we have. So, that's the approach I would say we, we take again, nothing generic because everything itself is a big problem.
ProjectPro
projectpro.io › walmart sales forecasting data science project
Walmart Sales Forecasting Data Science Project
Data Science Project in R-Predict the sales for each department using historical markdown data from the Walmart dataset containing data of 45 Walmart stores.
ResearchGate
researchgate.net › publication › 382596307_STRATEGIES_CHALLENGES_AND_OUTCOMES_OF_BIG_DATA_ANALYTICS_FOR_ENHANCED_BUSINESS_INTELLIGENCE
(PDF) STRATEGIES, CHALLENGES, AND OUTCOMES OF BIG DATA ANALYTICS FOR ENHANCED BUSINESS INTELLIGENCE
July 27, 2024 - Predicting Walmart Sales, Exploratory Data Analysis, and Walmart Sales · Dashboard. Rochester Institute of Technology. Jogesh, K. S., & Bappy, M. A. (2024). Machine Learning-Guided Design Of Nanolubricants For · Minimizing Energy Loss In Mechanical Systems. International Journal of Science and