Data scientist III

Walmart Global Tech India; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Incentive awards

Maternity leave

Health benefits

Paid time off

Job summary

Walmart Global Tech India is seeking a Data Scientist III to translate complex business challenges into data-driven solutions and build scalable ML models in a production environment. You will source data, validate quality, and deploy models while collaborating with cross-functional teams to align insights with business goals.

The role emphasizes ML, NLP, and time-series forecasting in a large data ecosystem.

Qualifications

• Bachelor's or higher in a quantitative field with relevant experience.
• Strong ML/DL, NLP, time-series, and data mining skills.
• Production-grade code development for scalable models.

Responsibilities

• Translate complex business problems into data-driven solutions.
• Identify and source relevant data sets with quality checks.
• Develop, test, and validate ML models and pipelines.
• Collaborate with cross-functional teams to align with business goals.
• Deploy scalable models into production with monitoring.
• Create clear visualizations to communicate findings.

Skills

ML/DL development

NLP

Time-Series Forecasting

Data/Text Mining

Neural Networks

Python

Production code

Education

Bachelor's in Statistics/Analytics/CS

Master's in Statistics/Analytics/CS

PhD in CS/Stats/Math

Job description

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 Energy and Real Estate data science team at Walmart is focused on using the latest research in machine learning, statistics and optimization to solve business problems in energy management, facilities operations, real estate site selection and overall property portfolio strategy. We build models to empower decision-making, work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem. Advanced analytical algorithms driven by our team help Walmart optimize energy consumption, real estate investments and business practices, reduce cost and pass those benefits to our customers. The data science and ML Engineering community at Walmart is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. Our team is also at the forefront of building intelligent agents and working with the cutting-edge data science tech stack, including LLM-powered automation and agentic workflows, to push innovation even further. All the work we do at Walmart will eventually benefit our operations & our associates, helping Customers Save Money to Live Better.

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 in engineering with > 5 years of relevant experience OR Master's with > 3 years of relevant experience OR PhD in Computer Science/Statistics/Mathematics with > 1 year of relevant experience
• Experience in machine learning, supervised and unsupervised: NLP, Classification, Time-Series Forecasting, Data/Text Mining, Multi-modal models, Neural Networks, Deep Learning Algorithms
• Solve data science problems using world‑class algorithms, by researching & experimenting, and implementing these to production using best practices to handle scale and latency requirements
• Develop production-level code and algorithms to generate better energy consumption and real estate demand forecasts
• Design Data Science experiments, execute them, and record the results
• Adopt Walmart's quality standards and develop and recommend process standards and best practices across the retail and real estate industry
• Research, learn & adapt new technologies - including LLMs and agentic frameworks - to solve problems & improve existing solutions
• Adhere to company policies, procedures, mission, values, and standards of ethics and integrity
• Partner with senior team members to assess facilities, energy, and real estate portfolio needs and define business questions

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 experts 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