Position Summary...

What you'll do...

About 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.

What you will do:

As a Staff Data Scientist for Walmart Labs, you’ll have the opportunity to

• Apply and/or develop ML solutions to develop efficient and scalable models at Walmart scale.

• Play a key role to solve complex problems, pivotal to Walmart’s business and drive actionable insights from terabytes of data.

• 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.

• Create recommendation models for personalizing user experience.

• 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.

• Mentor peers and junior members and handle multiple projects at the same time.

• Peer review and publish work in top tier ML/AI conferences

• 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:

• PhD with > 6 years of experience / master’s degree with > 8 years of experience / bachelor's degree with > 9 years of experience. Educational qualifications should be preferably in STEM. Experience should be relevant to the role.

• Experience in analysing complex problems and translating them to data science algorithms with due attention to computational efficiency and testing at scale.

• Expertise in machine learning, supervised and unsupervised: Recommendation models for ranking, latest technique in NLP Deep Learning Algorithms and Reinforcement Learning

• Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.

• Worked with at least one mainstream machine learning framework such as Tensor Flow, Torch

• Experience with SQL, relational databases and data warehouse

• Experience with big data platforms - Hadoop(Hive, Pig, Map Reduce, HQL) / Spark

• Domain Knowledge : Personalization

• Experience with multiple stakeholder management, data based story-telling, mentoring peers and juniors, multiple project handling at the same time.

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.

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.

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.

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...