STAFF, DATA SCIENTIST

Position Summary...

We are seeking a Data Scientist to join Walmart’s Reliability Engineering and Operations Reporting & Analytics Team within Developer Tools and Infrastructure. You’ll analyze operational data, build predictive models, and leverageAI agent frameworks to drive system reliability and performance. Collaborating with SREs and engineering teams, you’ll deliver actionable insights, automate workflows, and support incident management, enabling resilient, high-performing solutions across Walmart’s technology ecosystem

What you'll do...

About the team

The Reliability Engineering and Operations Reporting & Analytics Team is part of Walmart’s Developer Tools and Infrastructure organization. Our mission is to drive operational excellence and system reliability across Walmart’s technology landscape. We empower engineering teams with actionable insights, predictive analytics, and automated reporting to proactively identify issues, optimize performance, and minimize downtime. By leveraging advanced data science, AI agent frameworks, and robust monitoring tools, we foster a culture of continuous improvement and shared accountability. Our collaborative approach ensures that developers, SREs, and business stakeholders have the data and tools needed to deliver resilient, high-performing solutions at scale 

What You’ll Do

• Analyse operational and reliability data to identify patterns, root causes, and opportunities for improvement in system performance and incident management.
• Develop predictive models and machine learning algorithms to forecast outages, detect anomalies, and optimize maintenance schedules.
• Build and maintain dashboards and real-time monitoring tools to visualize key metrics, system health, and incident trends.
• Collaborate with Site Reliability Engineers (SREs), operations specialists, and business stakeholders to translate operational challenges into actionable analytics projects.
• Drive continuous improvement by recommending data-driven process optimizations and automating alerts for proactive incident prevention.
• Support incident lifecycle management by providing analytical insights during detection, recovery, and post-mortem phases.
• Leverage AI Agent frameworks and tools to automate operational workflows, enhance monitoring, and enable intelligent incident response.
• Participate in the design, evaluation, and deployment of agentic AI solutions for reliability and operations use cases, including workflow orchestration, plan execution, and response synthesis.

What You’ll bring

• 10+ years of experience in data science, analytics, or related fields.
• Strong analytical and problem-solving skills, with experience in extracting actionable insights from complex datasets.
• Proficiency in Python or R for data analysis and machine learning; experience with SQL for data querying and manipulation.
• Experience with data engineering tasks, including data cleaning, transformation, and integration from multiple sources.
• Familiarity with cloud platforms (e.g., GCP, Azure, AWS), big data tools (e.g., Spark, BigQuery), and ML frameworks (e.g., scikit-learn, TensorFlow, MLFlow).
• Ability to build dashboards and visualizations using tools such as PowerBI, Tableau, or Looker.
• Knowledge of reliability engineering concepts, incident management, and operational analytics best practices.
• Exposure to AI Agent frameworks, agentic architectures, or conversational AI platforms (e.g., People Domain Agent, RAG pipelines, workflow orchestration).
• Experience designing, evaluating, or deploying agentic AI solutions for operational automation or analytics.
• Excellent communication skills to present findings and recommendations to technical and non-technical audiences.
• Initiative to promote data quality, question existing processes, and advocate for lean, efficient operations.

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.

We’re back to office ​​

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: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 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...

Building 10 (sez), Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India