Data Scientist III

Posted Yesterday
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Bangalore, Bengaluru Urban, Karnataka, IND
Hybrid
Senior level
Big Data • Cloud • Logistics • Machine Learning • Retail
The Role
Develops advanced machine learning, deep learning, NLP, and generative AI models to improve product catalog quality, classification, attribute enrichment, and search accuracy. Responsibilities include sourcing and validating data, building and deploying scalable models, implementing MLOps monitoring, generating visualizations, and collaborating with cross-functional stakeholders. The role also involves vector database retrieval, LLM gateway provisioning, RAG agent development, prompt engineering, fine-tuning, and AI governance.
Summary Generated by Built In
Position Summary...

What you'll do...

Role summary:

As a Data Scientist III, you will apply advanced analytical and modeling techniques to translate complex business challenges into data-driven solutions. This role requires expertise in data sourcing, exploratory analysis, and model development using programming languages such as Python. You will support the deployment and scalability of analytical models while collaborating cross-functionally to align insights with business objectives. The position demands a strong understanding of industry practices, data quality, and visualization to effectively communicate findings and drive informed decision-making within a dynamic environment.

About the team:

The Catalog Data Science team focuses on enhancing product content quality to improve search accuracy and customer experience. By developing and deploying advanced AI models, including NLP and Generative AI, the team addresses challenges such as product classification, attribute enrichment, and content consistency. Their work supports global catalog health by ensuring precise product representation, aiding sellers and suppliers in item setup and maintenance. The team leverages expertise in machine learning, deep learning, and MLOps to deliver scalable AI solutions that drive measurable improvements in catalog performance and customer satisfaction.

What you'll do:

  • Translate complex business problems into data-driven solutions using advanced analytical and mathematical methods.

  • Identify and source relevant data sets, ensuring data quality and suitability for modeling purposes.

  • Develop, test, and validate custom analytical models leveraging machine learning, deep learning, and statistical techniques.

  • Collaborate with cross-functional teams to align data insights with business objectives and support decision-making.

  • Deploy scalable models into production environments, ensuring sustainability and performance monitoring.

  • Create clear data visualizations to communicate findings and influence stakeholders effectively.

  • Support continuous improvement by adopting emerging AI technologies and best practices in MLOps.

What you'll bring:

  • Bachelor's with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/Statistics/Mathematics with > 3 years of relevant experience

  • Experience in machine learning, supervised and unsupervised: NLP, Classification, Data/Text Mining, Multi-modal models, Neural Networks, Deep Learning Algorithms

  • Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance.                        

  • Strong Experience in Python, PySpark,Google Cloud platform, model deployment

  • Strong Experience with big data platforms

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.

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

Skills Required

  • Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and relevant analytics experience
  • Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field
  • Four years of experience in an analytics or related field
  • More than seven years of relevant experience with a bachelor’s degree, more than five years with a master’s degree, or more than three years with a PhD in Computer Science, Statistics, or Mathematics
  • Experience with supervised and unsupervised machine learning, NLP, classification, data and text mining, multimodal models, neural networks, and deep learning algorithms
  • Experience generating embeddings, using vector databases, provisioning managed LLM gateways, developing RAG-based LLM agents, model selection, prompt engineering, fine-tuning, monitoring, and governance
  • Strong experience with Python, PySpark, Google Cloud Platform, and model deployment
  • Strong experience with big data platforms

Walmart Global Tech Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.

  • Strong & Reliable Incentives Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
  • Retirement Support Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
  • Parental & Family Support Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.

Walmart Global Tech Insights

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The Company
HQ: Bentonville, AR
578,950 Employees

What We Do

Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.

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