Data Scientist

Join us in revolutionizing data-driven decision-making in the world’s largest company! Walmart Claim Services (WCS) is looking for a talented Staff Data Scientist to support our team of over 550 professional who operate like an internal insurance company, managing claims for our associates and customers across the nation.

WCS works closely with our Legal, Safety, & Finance partner and external vendors to provide data insights for informed, data-driven decisions. Our data science and analytics team consist of talented group of data specialists who manage data, develop statistical, machine learning, NLP, Gen AI models/ solutions, and maintain reporting tools, ensuring we remain a world-class business.

As a Staff Data Scientist, you will utilize your expertise in data mining, predictive modeling, machine learning, and NLP techniques to drive strategic decisions for WCS. You will be at the forefront of implementing models and strategies using A/B testing or Design of Experiments (DOE), tracking business performance, and providing insightful visualizations to support and continuously improve WCS business strategy.

Design, develop and Deploy innovative Machine Learning, Natural Language Processing (NLP), Gen AI, and Graph Neural Network (GNN) models using Python/GCP or other modeling tools.

Design and conduct A/B Testing and multivariate experiments (DOE), tracking results to provide actionable recommendations to business partners.

Develop clear, concise, and powerful data visualizations using BI tools like Power BI or Tableau.

Utilize SQL, Python, Google Cloud, MLOps, Tableau, Power BI, R or SAS to prepare data for analysis, modeling, deployment, and reporting.

Identify business process gaps and devise analytical solutions to address them.

A self-starter, able to work independently and overcome obstacles to achieve results.

A multi-tasker, capable of managing multiple technical projects while delivering results.

A problem solver, with a high degree of intellectual curiosity and solid business acumen.

An excellent communicator, able to present significant analysis in a concise manner to key stakeholders.

A flexible thinker, comfortable with ambiguity and adept at fact-finding.

In joining Walmart’s WCS team, you get to be part of a global company that is at the forefront of leveraging data for business insights. This role offers the opportunity to work with complex, large-scale datasets, and cutting-edge technologies, providing a platform for continuous learning and professional growth. Furthermore, Walmart’s commitment to innovation makes it an exciting environment for data analysts who want to make a significant impact.

At Walmart, we offer competitive pay as well as performance-based bonus 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

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.

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