
Operates a chain of hypermarkets, discount department stores, and grocery stores in the United States and 19 other countries.
(IND) SENIOR MANAGER, DATA SCIENCE
Position Summary...
What you'll do...
About the Team
The Catalog Data Science Team at Walmart Global Tech is focused on using the latest research in generative AI (GenAI), artificial intelligence (AI), machine learning (ML), statistics, deep learning, computer vision and optimization to implement solutions that ensure Walmart’s product catalog is accurate, complete, and optimized for customer experience. Our team tackles complex data science and ML engineering challenges related to product classification, attribute extraction, trust & safety, and catalog optimization, empowering next-generation retail use cases.
The Data Science and ML Engineering community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Global Tech will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.
What you'll do:
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As a Senior Manager
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Data Science, you’ll have the opportunity to
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Lead, mentor, and manage a high-performing team of data scientists and ML engineers. Foster a collaborative and innovative team culture while providing guidance and support for professional growth.
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Drive data science initiatives aligned with Walmart's business goals. Collaborate with senior management to identify opportunities where data science can drive value and optimize customer experiences.
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Oversee the end-to-end lifecycle of complex data science projects, including scoping, planning, execution, and delivery. Ensure timely completion of projects within budget while maintaining quality standards.
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Design, build, and deploy machine learning models to solve business problems. Utilize technologies like generative AI, deep learning, computer vision, and statistical modeling.
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Collaborate with engineering teams to ensure robust data pipelines and infrastructure. Establish processes for data integration, quality assurance, governance, and compliance.
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Partner with cross-functional teams including product managers, engineers, and business stakeholders to understand requirements and deliver impactful solutions. Communicate insights effectively to drive decision-making.
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Stay updated on the latest advancements in AI/ML technologies. Drive innovation by experimenting with new methodologies and tools to enhance Walmart’s product catalog capabilities.
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Represent Walmart Global Tech in external forums by publishing research findings or presenting at conferences. Promote a culture of learning within the team by sharing best practices and insights.
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Adhere to Walmart’s policies, procedures, mission, values, standards of ethics and integrity
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Adopt to Walmart’s quality standards, develop/recommend process standards and best practices across the retail industry
What you'll bring:
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PhD with > 7 years of relevant experience / Master’s degree with > 10 years of experience/ 4-year bachelor’s degree with > 12 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
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Proven track record of leading data science teams, including hiring, coaching, and fostering a collaborative culture. Experience managing hybrid or remote teams is valuable.
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Strategic planning to align data initiatives with organizational goals, prioritizing high-impact projects while managing resources and budgets.
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Experience partnering with product, engineering, and analytics teams to integrate ML solutions into business workflows.
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Ability to translate technical insights into actionable business strategies for executives and non-technical stakeholders. Strong storytelling with tools like Tableau or Power BI.
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Tackle ambiguous business challenges with innovative, data-driven solutions.
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Strong communication skills with inclination to high ownership and commitment
Good to haves:
- Experience with Ecommerce domain.
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.
Flexible, hybrid work
Walmart’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/Chennai 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.
Belonging
We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.
At Walmart, our vision is "everyone included." by fostering a workplace culture where everyone is—and feels—included, everyone wins. Our associates and customers reflect the makeup of all 19 countries where we operate. By making Walmart a welcoming place where all people feel like they belong, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.
Equal opportunity employer
Walmart, inc., is an equal opportunities 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 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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 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
전체 조회수
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전체 지원 클릭
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전체 Mock Apply
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전체 스크랩
0
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Walmart 소개

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+
직원 수
Bentonville
본사 위치
$611B
기업 가치
리뷰
10개 리뷰
2.7
10개 리뷰
워라밸
3.2
보상
2.1
문화
2.8
커리어
2.0
경영진
2.2
35%
지인 추천률
장점
Friendly and supportive coworkers
Flexible hours and scheduling
Good work-life balance potential
단점
Low pay and compensation
Limited advancement and growth opportunities
Poor and disorganized management
연봉 정보
29,572개 데이터
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Junior/L3 · Data Scientist P1
0개 리포트
$125,350
총 연봉
기본급
-
주식
-
보너스
-
$106,548
$144,152
면접 후기
후기 2개
난이도
3.0
/ 5
소요 기간
21-35주
합격률
50%
경험
긍정 50%
보통 50%
부정 0%
면접 과정
1
Application Review
2
Online Assessment
3
Recruiter Screen
4
Technical Interview
5
Final Interview
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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