at Walmart
Full TimeAbout 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 focussed on building an intelligent system that will enable 1:1 personalised 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 you will do:
As a 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 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 plans.
What you will bring:
· 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 business stakeholders across stores and e-commerce businesses regarding algorithm-based recommendations and be a thought-leader to develop these into business actions.
· Promote and support company policies, procedures, mission, values, and standards of ethics and integrity
About Global Tech.
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people and put a smile on their face. That’s what we do at Walmart Global Tech. We’re a team of 15,000+ software engineers, data scientists and service professionals within Walmart, the world’s largest retailer, delivering innovations that improve how our customers shop and empower our 2.3 million associates. To others, innovation looks like an app, service or some code, but Walmart has always been about people. People are why we innovate, and people power our innovations. Being human-led is our true disruption. 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 that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and 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.
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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
