
Operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries.
(IND) SENIOR, DATA SCIENTIST at Walmart
About the role
Position Summary...
What you'll do...
About Team:
- This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. We also optimize tariffs and assortment, adhering to the Walmart philosophy
- Everyday Low Cost. In addition to ushering in affordability, we also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. Marketplace is the gateway to domestic and international Third-Party sellers; we enable them to manage their end-to-end onboarding, catalog management, order fulfilment, return & refund management. Our team is responsible for design, development, and operations of large-scale distributed systems by leveraging cutting-edge technologies in web/mobile, cloud, big data & AI/ML. We interact with multiple teams across the company to provide scalable robust technical solutions.
What you'll do:
As a Data Scientist for Walmart , you’ll have the opportunity to
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Drive data-derived insights across the wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives
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Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals
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Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights
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Build and train statistical models and machine learning algorithms for replication for future projects
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Communicate recommendations to business partners and influencing future plans based on insights
What you'll bring:
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Very good knowledge of the foundations of machine learning and statistics
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Experience in designing and developing Gen AI production grade solutions at scale
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Experience in Risk and Fraud detection solutions using AI/ML/DS is preferable
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Experience in Analyzing the Complex Problems and translate it into data science algorithms
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Experience in machine learning, supervised and unsupervised and deep learning.
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Hands on experience in Computer Visions and NLP.
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Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data
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Strong Experience in Python with excellent knowledge of Data Structures
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Strong Experience with big data platforms – Hadoop (Hive, Pig, Map Reduce, HQL, Scala, Spark)
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Hands on experience with Git
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Experience with SQL and relational databases, data warehouse
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Qualifications
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Bachelors with > 7 years of experience / Master’s degree with > 5 years of experience. Educational qualifications should be preferably in Computer Science/Mathematics/Statistics or a related area. Experience should be relevant to the role.
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Good to have:
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Experience in ecommerce domain.
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Experience in Risk and Fraud domain.
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Experience in R and Julia
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Demonstrated success in data science platforms like Kaggle.
About Walmart Global Tech:
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. That’s what we do at Walmart Global Tech. We’re a team of software engineers, data scientists, cybersecurity expert's and service professionals within the world’s leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered.
We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail.
**Mode of WorkWalmart’s culture sets us apart, and we know being together helps us innovate, learn and grow great careers. This role is based in our Bangalore office for daily work, with the flexibility for associates to manage their personal lives.Benefits:
Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include a host of best-in-class benefits maternity and parental leave, PTO, health benefits, and much more.
Equal Opportunity Employer:
Walmart, Inc. is an Equal Opportunity Employer – By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting and valuing diversity- unique styles, experiences, identities, ideas and opinions – while being inclusive of all people.
Minimum Qualifications...Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field.
Preferred Qualifications...Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Primary Location...
Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India
Required skills
Data science
Machine learning
Statistics
Data analysis
Big data
Modeling
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About Walmart

Walmart
PublicWalmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries. It is headquartered in Bentonville, Arkansas.
10,001+
Employees
Bentonville
Headquarters
$611B
Valuation
Reviews
10 reviews
2.7
10 reviews
Work-life balance
3.2
Compensation
2.1
Culture
2.8
Career
2.0
Management
2.2
35%
Recommend to a friend
Pros
Friendly and supportive coworkers
Flexible hours and scheduling
Good work-life balance potential
Cons
Low pay and compensation
Limited advancement and growth opportunities
Poor and disorganized management
Salary Ranges
29,572 data points
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P1
0 reports
$125,350
total per year
Base
-
Stock
-
Bonus
-
$106,548
$144,152
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Offer rate
50%
Experience
Positive 50%
Neutral 50%
Negative 0%
Interview process
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Interview
5
Final Interview
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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