- Location
- IN KA BANGALORE Home Office PTPP2, India
- Type
- Full-time
- Department
- Education
- Education
- PhD
- Source
- Workday
Description
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.
