Position Summary...

What you'll do...

​About Team:

Walmart U.S. Tech: This is the team which builds reusable technologies that aid in acquiring customers, onboarding and empowering merchants besides ensuring a seamless experience for both these stakeholders. They also optimize tariffs and assortment, adhering to the Walmart philosophy - Everyday Low Cost. In addition to ushering in affordability, they also create personalized experiences for customers the omnichannel way, across all channels - in-store, on the mobile app and websites. 

Our team is responsible for design, development, and operations of large-scale data systems operating at petabytes scale. We focus on real-time indexing pipelines, web crawling, streaming analytics, distributed machine learning infrastructure. We interact with multiple teams across the company to provide scalable robust technical solutions.  

What you will do:

You’ll have the opportunity to

• As a Data scientist, Search for Walmart Global Tech, you’ll have the opportunity to Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.
• Leverage data science tools and techniques, keeping abreast with the latest in the community to solve problems for Walmart.
• 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.
• Develop PoC, present lucidly to the business and evolve the solutions.
• Take forward the solutions into Pipelines/APIs as needed by the business.
• Research, learn/disseminate & adapt new technologies to solve problems & improve upon existing solutions.
• Adopt Wal-Mart’s quality standards and develop and recommend process standards and best practices across the retail industry.
• 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.
• Handle multiple projects at the same time.
• Peer review and publish work in top tier ML/AI conferences such as NIPS, ICML, AAAI and COLT
• Participate and speak at various external forums such as research conferences and technical summits.
• Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

What you will bring:

• Master's degree in Computer Science/Mathematics/Statistics or a related area with 3-6 years of experience. Experience should be relevant to the role.
• Experience in handling large datasets using big data tools such as Spark, Hive, and BigQuery.
• Ability to apply deep understanding of machine learning algorithms and deep learning libraries, like TensorFlow or PyTorch, in problem-solving.
• Expected proficiency in Python with the ability to write efficient, reusable code for automating machine learning pipelines and data processes. Familiarity with Java is optional but can be beneficial.
• Demonstrable expertise in Natural Language Processing (NLP), information retrieval, ranking, along with solid foundational knowledge of machine learning to optimize and innovate in project tasks.
• Capability to implement and optimize large language models (LLMs) to leverage user-provided data, enhancing the user experience and generating valuable insights.
• Proven ability to learn and adapt to new technologies and frameworks quickly  
• Excellent organization, communication, interpersonal skills. 
• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.

Additional Qualifications:  

• Large scale distributed systems experience, including scalability and fault tolerance.  
• Exposure to cloud infrastructure, such as Open Stack, Azure, GCP, or AWS  
• A continuous drive to explore, improve, enhance, automate and optimize systems and tools.  
• Exposure to information retrieval, statistics, and machine learning.  

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.

The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.

Belonging

We aim to create a culture where every associate feels valued for who they are, rooted in respect for the individual. Our goal is to foster a sense of belonging, to create opportunities for all our associates, customers and suppliers, and to be a Walmart for everyone.

At Walmart, our vision is "everyone included." By fostering a workplace culture where everyone is—and feels—included, 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, we’re able to engage associates, strengthen our business, improve our ability to serve customers, and support the communities where we operate.

Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Primary Location...