Why you should apply for a job with Walmart:
All eligible associates have affordable options that include no lifetime maximum and eligible preventive care covered at 100%.
The enhanced maternity benefit supports birth moms with up to 10 weeks of protected paid time away from work.
Associates can take advantage of Resources for Living, a free confidential counseling and health information service.
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Position summary
Position Summary...
What you'll do...
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 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
- Join a newly created team as one of the early data scientists and have a significant opportunity to make an impact by prototyping next-generation data products in the health and wellness space.
- Build ML models to uncover healthcare signals to help customers and improve health outcomes optimize their care journey.
- Analyze complex data elements and develop data models that are easily digestible to help the team make best decisions based off the data.
- Lead discovery phases integrating with multiple internal systems and teams to ingest data and identify new ideas in the space.
- Design experimentation and leverage causal inferences to support product testing and rollout.
What You’ll Need
- Master’s or PhD degree in STEM or relevant field; Professional experience in DS, ML, DL, or RL.
- Extensive experience with machine learning and deep learning packages (scikit-learn, lightGBM, Tensorflow or PyTorch).
- Experience writing complex SQL queries to surface insights from vast amounts of data.
- Significant programing experience in Python, Spark etc.; Comfortable implementing algorithms from academic papers and building data pipelines.
- Practical experience with cloud services (Google Cloud Platform etc.).
- Familiarity with experimentation design or causal inferences.
A plus if you also have
- Experience with health care data (claims, EMR) and its regulations.
- Thrives in fast-paced start-up environment, including balancing multiple projects and dealing with ambiguity.
- Contribution to external open-source projects.
- Agile experience with emphasis on rapid prototyping.
- Understanding of container technologies like Kubernetes
Minimum Qualifications
- Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics or related field.
- Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 2 years' experience in an analytics or related field.
- Option 3: 6 years' experience in an analytics or related field.
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
As permitted by applicable law, provide evidence of full vaccination as defined by CDC guidelines OR secure approval of medical or religious accommodation for the vaccination mandate.
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...
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
About the company
In 1962, Sam Walton started a single mom-and-pop shop and transformed it into the world’s largest retailer. Since those founding days, one thing has remained consistent: helping our customers save money so they can live better. Today, we’re reinventing the shopping experience - and our associates are at the heart of it (all 2.2 million of them). When you join our Walmart family of ...