Distinguished, Data Scientist
Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 22, 2026. Walmart scores A on the Alion truth index.
Position Summary...
What you'll do...
Role Summary
As a Distinguished Engineer in Data Science, you are one of the most senior technical leaders in the organization - an individual contributor whose scope, influence, and technical judgment shape how Walmart builds and operationalizes data science and ML at enterprise scale. You will define multi-year technical strategy across several data science domains, resolve the hardest ambiguous and cross-organizational technical problems, and raise the bar for engineering and scientific rigor across hundreds of engineers and data scientists. This is a hands-on role: you are expected to prototype, review designs, write and review production-grade code/models, and be the final technical word on the toughest calls - not just a strategist on slides.
What You'll Do
- Set the technical vision and multi-year roadmap for data science and applied ML across multiple product lines, ensuring alignment with enterprise data and AI strategy.
- Architect and guide the build of large-scale ML/statistical systems (forecasting, causal inference, anomaly detection, optimization, personalization, GenAI/LLM applications) that operate reliably in production at Walmart scale.
- Act as the top technical escalation point for the hardest, most ambiguous data science problems spanning multiple teams, markets, and data domains (e.g., CA/MX international parity, cross-market calculation standardization).
- Partner directly with VPs, Senior Directors, and Product leadership to translate business strategy into technical roadmaps, and to make build-vs-buy, platform, and architecture trade-off decisions with enterprise-wide consequences.
- Mentor and raise the technical bar for Principal and Staff Data Scientists/Engineers across the org; conduct design and code reviews that set the standard for rigor.
- Drive the adoption of modern MLOps, experimentation, and responsible-AI practices (reproducibility, model monitoring, bias/fairness evaluation, data quality SLAs).
- Identify and de-risk technical blockers before they become executive escalations - proactively surfacing risk, trade-offs, and mitigation paths to leadership.
- Represent Walmart's data science capability externally and internally: publications, patents, conference talks, and internal technical guilds/communities of practice.
- Partner with Data Engineering, Platform, and Infra teams to ensure the underlying data foundation (ingestion, quality, lineage, governance) can support advanced analytics at scale.
What You'll Bring
- 12+ years of professional experience in data science, applied machine learning, or statistics, including demonstrated enterprise-scale production impact.
- Master's or PhD in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field (or equivalent practical experience).
- Deep, hands-on expertise in statistical modeling, machine learning, and/or causal inference, with a track record of shipping models/systems that materially moved business metrics at scale.
- Proven experience architecting and operating large-scale, distributed data/ML systems (e.g., Spark, distributed training, feature stores, streaming pipelines).
- Strong software engineering fundamentals - production-quality Python/Scala/SQL, testing, CI/CD, and cloud platforms (GCP, Azure, or AWS).
- Demonstrated ability to influence and align VP/SVP-level stakeholders and engineering organizations without direct authority.
- A track record of mentoring senior (Staff/Principal-level) engineers and data scientists.
- Experience in retail, supply chain, or omnichannel commerce data domains (demand forecasting, inventory, OTIF, pricing, personalization).
- Experience applying LLMs / GenAI to enterprise data products (RAG, agents, evaluation frameworks, guardrails).
- Published research, granted patents, or recognized external thought leadership in ML/AI.
- Experience operating across international markets with varying data maturity and regulatory constraints (e.g., US, Canada, Mexico).
- Prior experience as a technical founder, chief architect, or Distinguished/Fellow-level engineer at another large-scale technology company.
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.
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 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: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 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 4 years' experience in an analytics related field. Option 3: 8 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.