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Walmart | Staff Data Scientist (Store No.8 | Health & Wellness) | San Bruno, CA | United States | BigDataKB.com | 2023-01-16

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Job Location: San Bruno, CA

Job Detail:

Position Summary…

What you’ll do…

About Store N o 8

We are the incubation arm of Walmart. Store N o 8 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 N°8 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 N°8’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 with classification problems on imbalanced datasets.
  • Experience with feature engineering and boosting algorithms.
  • 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.
  • Experience with time series or temporal event sequences, preferably in the context of classification.
  • Experience finding patterns in time series and accounting for seasonality.
  • Experience with ARIMA, LSTMs, and Graph Neural Networks.
  • Experience with pyCaret and sklearn.
  • 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.

At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .

Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam’s Club facilities. Programs range from high school completion to bachelor’s degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart at https://bit.ly/3iOOb1J .

The annual salary range for this position is $160,000.00-$230,000.00

Additional Compensation For Certain Positions May Also Include

Additional compensation includes annual or quarterly performance incentives.

  • Regional Pay Zone (RPZ) (based on location)
  • Stock equity incentives

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…

850 Cherry Avenue, San Bruno, CA 94066-3031, United States of America




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