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Walmart

USA Data Scientist Data Scientist

United States, California
Details

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 u ncover 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 2 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.
  • Option 3: 4 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 2 years' experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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, Master’s degree 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)
850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America
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