A/B Testing, Aartificial intelligence, Algorithms, Azure, Bayesian networks, Data science techniques, Databricks, Git, Google BigQuery, Google Cloud Platform (GCP), JIRA, Leadership, Machine learning techniques, MLOps tools, NumPy, Pandas, Python Programming, PyTorch, R Programming, Scala Programming, Scikit-learn, Spark Core, Statistics, TensorFlow
Position Summary...
What you'll do...
Are you ready to help transform the Retail Business? Do you love to learn from data and experiments? Do you want to be a part of our AI/ML success story? If yes, then this is that team where magic happens. We are looking for experienced Data Scientists who have a penchant for challenging status quo, constantly innovating, experimenting and communicating the business-critical outcomes effectively with leaders and multiple business partners.
The Principal Data Scientist – AI/ML Experimentation, is a critical thought-leadership role, uses cutting edge machine learning and statistics techniques to do experimentation and learning for our company’s continued success. Reporting to the Director, Data Science, the ideal candidate will have a strong background in design of experiments, measurement, statistics, machine learning and data mining, will also be able to communicate effectively with both technical and non-technical audiences.
About the Team:
The Retail Intelligence team is transforming the Retail business by reimagining existing business processes and incorporating ML/AI activations to achieve increased Customer and Associate engagement. The AI/ML Experimentation team, as part of the wider Retail Intelligence organization will be responsible for data/ business process mapping/discovery, value mapping ML/AI activations, rapid prototyping of ML/causal inference models, designing experiments and measurement of success metrics.
What You’ll Do:
What you’ll Bring...
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 duties, responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.
About Walmart Supply Chain
At Walmart, we help people save money so they can live better. This mission serves as the foundation for every decision we make, from responsible sourcing to sustainability—and everything in between. As a Walmart associate, you will play an integral role in shaping the future of retail, tech, merchandising, finance, and hundreds of other industries—all while affecting the lives of millions of customers all over the world. Here, your work makes an impact every day. What are you waiting for?
Future Ways of Working:
Our company's success can be attributed to our employees. While technology has allowed us to be effective while working remotely, there is no substitute for being in the office together; it helps to shape our culture, collaborate, innovate, build relationships, and move more quickly. We strive to provide flexibility to promote a healthy work-life balance but recognize that in-person interactions are important to our culture and shared success. We'll meet in person on a regular and purposeful basis.
Who we are:
Join Walmart and your work could help approximately 220 global customers live better every week. Yes, we are the Fortune #1 company. But you'll quickly find we're a company who wants you to feel comfortable bringing your whole self to work. Our mission spreads far beyond the walls of our stores. Here at the world's leading retailer, you can make career defining accomplishments, learn new skills, gain experience from virtually every industry, and leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. Discover why we are a world leader in technology, diversity and inclusion, sustainability, and community involvement. careers.walmart.com.
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.
Benefits & Perks:
Beyond competitive pay, 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.
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 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...
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, Publications or active peer reviewer in related journals or conference, 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...
702 SW 8TH ST, BENTONVILLE, AR 72716, United States of America
Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores from the United States, headquartered in Bentonville, Arkansas. The company was founded by Sam Walton in 1962 and incorporated on October 31, 1969.
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