Posted:
10/20/2024, 5:00:00 PM
Location(s):
Indiana, United States ⋅ Indianapolis, Indiana, United States ⋅ Bengaluru, Karnataka, India ⋅ Karnataka, India
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Workplace Type:
Hybrid
About Team
Ad Tech data science team at Walmart Labs, Bangalore is focused on using the latest research in machine learning, statistics, and optimization to solve business problems in ad tech domain. We build models to empower decision-making, work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem. Advanced algorithms driven by our team help Walmart to optimize user response, ads ROI and business practices, reduce cost and pass those benefits to our customers. You will be contributing towards building data science solutions by closely collaborating with our stakeholders at USA and provide solution to business challenges. Your contributions will have direct impact to the company’s businesses.
What you'll do:
As a Senior Data Scientists for Walmart Global Tech, you’ll have the opportunity to - Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data
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 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- 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