About Store No8
We are the incubation arm of Walmart. Store No8 was formed in 2017 as part of Walmart’s larger innovation mission to shape the future of commerce. We pursue big ideas and take risks by stepping outside of Walmart’s core business to focus on leapfrog capabilities across conversational commerce, mixed reality, in-store digitization, and more. Our ultimate goal: fuel Walmart’s core business, create new operational efficiencies, and unlock amazing experiences for our customers in the long-term.
This team within Store Nº8 is working on healthcare innovations because Walmart’s promise is to help its customers save money and live better. This includes building products that enhance both their physical and emotional wellbeing.
About the Role
As a Staff Data Scientist for one of our Store Nº8’s portfolio companies, your focus will be finding trends in data sets and developing next-generation algorithms to make the data useful for projects within our incubator. Reporting directly to the Head of Health Data Science, you will partner with data engineering, product, Health & Wellness, store operations, and legal teams. You will need to be a self-starter with bias for action and excellent communication skills.
This is a rare opportunity, moving at the speed of a startup, with the backing and in house data (lots of data) of the Fortune 1 company. You will bridge the art of what’s possible across today’s rapidly evolving healthcare data and informatics landscape.
What You’ll Do
What You’ll Need
A plus if you also have
Perks and Benefits
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.
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.
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
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)