Position Summary...
What youll do... Walmart s Enterprise Business Services (EBS) is a powerhouse of exceptional teams delivering world-class technology solutions and services that make a profound impact at every level of Walmart.
As a key part of Walmart Global Tech , our teams set the bar for operational excellence and leverage emerging technologies to support millions of customers, associates, and stakeholders worldwide. Each time an associate turns on their laptop, a customer makes a purchase, a new supplier is onboarded, the company closes its books, and associates are paid accurately and on time that s EBS.
Joining EBS means embarking on a journey of limitless growth, relentless innovation, and the opportunity to set new industry standards that shape the future of Walmart.
The EBS Technology team is looking for a Senior Manager Data science a horizontal, hands-on technology leader who brings together expertise across software engineering , data engineering , and data science .
Manage a team of data science and machine learning engineers to develop and deploy traditional data science and Gen AI applications supporting the Walmart finance department. Build models that solves specific business outcome by training with massive amount of Walmart data utilizing open-source or in-house tools
What You ll Do
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Grow a team of domain experts of NLP, LLM , Timeseries Forecasting and recommendation systems in respective business domains in retail ; e-commerce.
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Drive execution of developing models and systems
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Communicate, collaborate, and build relationships with clients and peer teams to facilitate cross-functional projects.
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Remain up to date on ongoing research and development activities in the team
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Work with data scientists to design, architect, and build AI/ML/DL model and model systems.
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Work with machine learning engineers to deploy, operate, and optimize scalable solutions
What You ll Bring :
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Education : Bachelor s or Master s degree in Computer Science, Engineering, or related technical field.
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Experience in NLP, LLM, Timeseries, Traditional ML techniques
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Experience in data science and machine learning for retail ; e-commerce
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Experience in managing a mid-size internal team of data scientists and MLEs
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Experience leading and completing cross-functional projects
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Strong organizational skills including prioritizing, scheduling, time management, and meeting deadlines
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Strong influencing and interpersonal skills
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Detail and results-oriented with sense of urgency
Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats 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.
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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.
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At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone isand feelsincluded, 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 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 unique styles, experiences, identities, ideas and opinions while being welcoming of all people.
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...
