PRINCIPAL, DATA SCIENTIST

Walmart Global Tech India; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Health benefits

Parental leave

Flexible work options

Performance incentives

Job summary

A global retail technology innovator is seeking a data scientist to leverage machine learning and statistical modeling to enhance e-commerce interactions. The ideal candidate will possess a PhD or equivalent experience, focusing on innovation and mentorship. This role requires collaboration across engineering and business teams to implement scalable data science solutions and continuously improve retail processes. Located in Bengaluru, this position offers a hybrid work environment and various benefits.

Qualifications

• Proven experience in statistical modeling and machine learning.
• Ability to develop scalable models at Walmart scale.
• Experience in integrating data science solutions into business processes.
• Track record of presenting complex analysis clearly to stakeholders.

Responsibilities

• Develop statistical models to enhance customer interaction.
• Collaborate with teams to find impactful business solutions.
• Monitor model performance and business impact.
• Mentor junior team members and manage multiple projects.

Skills

Statistical modeling techniques

Machine learning techniques

Deep learning

Optimization methods

Collaboration

Mentoring

Innovative thinking

Education

PhD with >10 years of experience

Master's degree with >12 years of experience

Bachelor's degree with >14 years of experience

Tools

Python

R

TensorFlow

PyTorch

Job description

About Team

U.S. Technology: This business closely partners with our U.S. stores and eCommerce business to serve customers by empowering associates, stores and merchants with technology innovation. rom grocery and entertainment to sporting goods and crafts, Walmart U.S. provides the deep assortment that our customers appreciate — whether they're shopping online at Walmart.com, through one of our mobile apps or shopping in a store. The focus areas include customer, stores and associates, in-store service, merchant tools, merchant data science and search & personalization.

Our team is focused on leveraging latest research in generative AI, machine learning (ML), statistics, deep learning, computer vision and optimization to reshape how our customers interacts with our search and making it frictionless for them to get what they want. We operate at the intersection of huge Walmart assortment, millions of customers, thousands of stores, and Walmart associates - a multi-layer multi-objective problem space which has a unique impact on Global consumer base and powers assisted AI for our associates.

The team consists of data scientists, application engineers, big data geeks and product visionaries all working together to design, prototype and build technology-driven products and experiences that will change the future landscape of e-commerce. We are focused on building an intelligent system that will revolutionize customer experience, from finding the product to delivering it to the customer. We are building state-of-the-art machine learnt systems using cutting edge technology that has ability to A/B test in fast iterations, use GPU/CPU based online inferencing of deep learnt and traditional models and event driven architecture. This will span multi markets, business models and form factors, therefore, we are looking for engineers and data scientists who will being not only an abundance of experiences in technologies but an abundant curiosity to innovate.

Also, the data science community at Walmart Labs is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coolest ideas. All the work we do at Walmart Labs benefits our operations & our associates, helping Customers Save Money to Live Better.

What you'll do

• Apply and/or develop statistical modelling techniques (such as deep neural networks and Bayesian models), optimization methods and other ML techniques.
• Develop efficient and scalable models at Walmart scale.
• Collaborate with counterparts in business, engineering, and science to find impactful solutions to business problems.
• Define and/or own the model goodness metrics and track the business impact over time.
• Present recommendations from complex analysis to business partners in clear and actionable form, influencing the future.

What you'll bring

• Qualifications: PhD with >10+ years of relevant experience / 4-year bachelor's degree with > 14+ years of experience / Master's degree with > 12 years of experience. Educational qualifications should be preferably in Computer Science or a strongly quantitative discipline.
• Manage the continuous improvement of data science and machine learning by following industry best practices and staying up to date with and extending the state-of-the-art in Machine Learning Research.
• Integrate data science solutions into current business processes.
• Develop and recommend process standards and best practices in Machine Learning as applicable to the retail industry.
• Mentor peers and junior members and handle multiple projects at the same time.
• Consult with business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
• Engage and partner with universities, institutes, and vendor partners to bring in ideas and innovation into the lab's environment.
• Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT.
• Participate and speak at various external forums such as research conferences and technical summits.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Good to haves

• Recommender Systems experience
• Deep learning as applied in computer vision
• Experience with LLMs
• Ecommerce domain

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.

Flexible, hybrid 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/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

• Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field.
• Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field.
• Option 3: 7 years' experience in an analytics or related field.

Preferred Qualifications

No preferred qualifications listed.

Primary Location

Block- 1, Prestige Tech Pacific Park, Sy No. 38/1, Outer Ring Rd Kadubeesanahalli , India