Posted:
9/12/2024, 6:17:07 AM
Location(s):
Bengaluru, Karnataka, India ⋅ Indiana, United States ⋅ Karnataka, India ⋅ Indianapolis, Indiana, United States
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
About Team:
Our People.AI strategy aims to empower our People business and associates by converting our people data, business processes and the knowledge and experience of our HR subject matter experts into search experiences, recommendations, outlier alerts and talent segmentations. People.AI is building a GenAI powered platform with multitude of services that will unlock the potential of Walmart’s products and to increase productivity and boost associate satisfaction. This platform will democratize information access in a seamless fashion, allowing our customers to make better decisions quicker. All of this will be done in a federated and data protected approach for internal use, which means that users can query using internal and personal data without worry that they will be exposing proprietary or personal information to an outside party. A core capability of these services will be a unified and extensible ML inferencing platform, model management, and ML-Ops, to accelerate time-to-market and maintain quality of service. You will have numerous opportunities to collaborate with Senior data scientists to design, architect, and build AI/ML model and model systems, Machine learning engineers to deploy, operate, and optimize scalable solutions & Product managers to design user journeys, feedback loop and analyse user telemetry.
What you'll do:
A Data scientist shall play a lead technical role in building data science solutions working with product managers and business stakeholders to deliver outstanding business outcomes for problems across Walmart.
What you'll bring:
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
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.
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Minimum Qualifications:Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's 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.Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.
Website: http://www.walmart.com/
Headquarter Location: Bentonville, Arkansas, United States
Employee Count: 10001+
Year Founded: 1962
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce ⋅ Grocery ⋅ Retail ⋅ Retail Technology ⋅ Shopping