SENIOR, DATA SCIENTIST

Position Summary...

What youll do...

• About Team:

  Personalization team at Walmart is dedicated to the mission of knowing our customers better and making it frictionless and faster for them to get what they want while building a trusted partnership with Walmart. We help bring a seamless experience to our customers irrespective of how and where they engage with us - while shopping online and picking groceries at stores. We thrive to provide each customer with a journey tailored to their individual needs, preferences, and routines. 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 Personalization 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 enable 1:1 personalized 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, event driven architecture that serves personalized experience for customers. This will span many 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 youll do:

  As a Senior Data Scientist for Walmart Labs, you ll have the opportunity to

  • Apply and/or develop statistical modeling 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 product management, 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 stakeholders in clear and actionable form.

  What youll bring:

  • Qualifications

    • PhD with > 2 years of experience / 4-year bachelor s degree with > 7 years of experience / Master s degree with > 5 years of experience. Educational qualifications should be preferably in Computer Science or a related area. Experience should be relevant to the role.

  • 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.

  • Consult with key stakeholders across stores and e-commerce regarding algorithm-based recommendations.

  • Publish work in top tier ML/AI conferences and contribute towards patents.

  • 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 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.

  Flexible, hybrid work:

  We use a hybrid way of working with primary in office presence coupled with an optimal mix of virtual presence. We use our campuses to collaborate and be together in person, as business needs require and for development and networking opportunities. This approach helps us make quicker decisions, remove location barriers across our global team, be more flexible in our 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.

  Equal Opportunity Employer:

  Walmart, Inc. is an Equal Opportunity 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 diversity- 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 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 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... 4,5,6, 7 Floor, Building 10, Sez, Cessna Business Park, Kadubeesanahalli Village, Varthur Hobli , India