Job Description
About Team:
Our Search datascience team is building a world class search system for Walmart e-comm customers. We use cutting edge machine learning, data mining and optimization algorithms to ingest, model, and analyze Walmart's proprietary online and in-store data, encompassing 95% of American households. Importantly, we build smart data systems that deliver relevant search results and experiences that connect our customers with the brands and products they love.
The team consists of data scientists, 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 learning systems using cutting edge technology that has ability to A/B test in fast iterations, use GPU/CPU based online inferencing of deep learning and traditional models and event driven architecture. This will span multi markets, business models and form factors, therefore, we are looking for data scientists who are both experienced and curious
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:
As a Principal Data Scientist for Search, you'll have the opportunity to
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.
Adopt Wal-Mart's quality standards and develop and recommend process standards and best practices across the retail industry.
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.
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.
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:
Search experience, deep learning, 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. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds 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, were 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 welcoming 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 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...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 ROAD KADUBEESANAHALLI, , India
