Staff Data Scientist

Position Summary...

What you'll do...

The Staff Data Scientist at Sam's Club AI Labs will spearhead the development of AI and machine learning solutions across our retail domains across operations, merchandising, finance, conversational AI, and e-commerce. Your key focus will be on crafting and deploying machine learning models that drive business value and enhance our member experience. The role will be responsible to manage the full life cycle of projects, build MLOps framework for continuous deployment of data science algorithms, and engage cross-functional teams in an agile environment. This role offers a unique opportunity to merge retail expertise with AI to drive transformative change in our business.

About Team:

Sam's Club is our membership warehouse club, a business model that provides our members with high-quality products at prices that are unrivaled by traditional retail. Sam's Club provides a carefully curated assortment of items, as well as developing and leading technologies and services such as Scan & Go, Club Pickup, and home delivery service in select markets. Sam's Club also provides travel, auto purchasing, pharmacy, optical, hearing aid centers, tire and battery centers, and a portfolio of business operations support services.

What you'll do:

Lead a team of data scientists and machine learning engineers, collaborating with cross-functional teams in product, business, and engineering to address cutting edge retail problems using AI. Drive the design and development of innovative ML models and optimization solutions, focusing on retail core domains such as operations, merchandising, finance, conversational AI, and e-commerce. Manage end-to-end project execution, from planning and data collection to model prototyping and deployment, while effectively communicating with stakeholders and cross-functional partners. Work closely with the Product and Engineering teams to inform, drive, and accelerate innovations in discovery experiences through insights, frameworks, causal inference solutions, and machine learning prototypes. Develop and implement a robust MLOps framework to create, build, and deploy data science algorithms, enabling continuous testing and experimentation.

What you'll bring:

• Passion for problem-solving, come with Analytical mindset with critical-thinking, and data skills.
• Expertise in Machine Learning and Data Science
• Strong technical skills in SQL, Python, R, or other programming languages commonly used in data analysis.
• Expertise in retail and merchandising domain such as pricing, assortment
• Awareness of software engineering principles, ability to develop and deploy appropriate analytic code suitable for production.
• Working knowledge of CI/CD and MLOps
• Experience working with large datasets, finding insights, and telling stories using data.
• Good knowledge in working with distributed datastores (e.g., SQL, NoSQL), and Big Data and Cloud technologies like GCP BQ.
• Experience in leading and mentoring a team of data scientists.
• Experience in agile
• Understanding of advance ML topics viz. Deep learning (ENN, CNN, RNN, etc.), GAN, Transformers, NLP, LLM’s is a plus.
• Excellent communication skills and ability to effectively communicate technical concepts to non-technical stakeholders.
• Prior experience working in the retail data sets is strongly preferred.

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:

Benefits: Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, 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.

Minimum Qualifications...

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

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field

Preferred Qualifications...

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

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)

Primary Location...

603 MUNGER AVE STE 400, DALLAS, TX 75202, United States of America

About Sam's Club

Sam Walton opened the first Sam's Club in 1983 to meet a growing need among customers who wanted to buy merchandise in bulk. Since then, Sam's Club has grown rapidly, opening more than 600 clubs in the U.S. and 100 clubs internationally. By offering affordable, wholesale merchandise to members, Sam's Club helps make saving simple for families and small business owners.

Sam's Club employs about 110,000 associates in the U.S. The average club is 134,000 square feet and offers bulk groceries and general merchandise. Most clubs also have specialty services, such as a pharmacy, an optical department, a photo center, or a tire and battery center.

Sam’s Club 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, abilities, ideas and opinions- while being inclusive of all people.