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# (USA) Data Scientist III

- **Company:** Shield AI
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $117,000.0 - $234,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Artificial Intelligence, Data Analysis, Application Frameworks, Big Data, Data Governance, Dataspaces, Data Visualization, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), SQL Databases, Web Content Accessibility Guidelines, Feature Engineering, Apache Spark, Deep Learning, Model Validation, Generative AI, Scikit Learn, Information Technology, Data Analytics, Data Management, Programming Languages
- **Published:** July 16, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p51pwz6kok

## About the Role

* Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data ecosystems.
 * Strong proficiency in SQL and programming languages such as Python or R for advanced data analysis and model development.
 * Experience applying advanced statistical methods, machine learning algorithms, and predictive modeling techniques to solve complex business problems.
 * Ability to conduct exploratory data analysis, feature engineering, and model validation using appropriate optimization and testing methods.
 * Knowledge of deploying and scaling analytical models in production environments with attention to performance and sustainability.
 * Skilled in data visualization tools and techniques to effectively communicate insights and influence stakeholders., __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), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.

## Description

What you'll do...Role summary:

As a Data Scientist III, you will apply advanced analytical modeling techniques and data management expertise to deliver actionable insights that drive business value. This role involves developing, validating, and deploying scalable models while collaborating across functions to address complex challenges. You will leverage statistical methods, machine learning, and big data analytics to support strategic decision-making. Additionally, you will mentor junior team members and ensure adherence to data quality standards, contributing to continuous improvement and innovation within Walmart's data ecosystem.

About the team:

The Applied AI team develops advanced Search and Personalization solutions to enhance the shopping experience by making it more relevant and intuitive. Utilizing machine learning, deep learning, and generative AI, the team builds scalable systems for efficient product discovery. Members collaborate closely, applying expertise in algorithms and solution design to deliver impactful results aligned with business goals. The team fosters a professional environment focused on technical excellence, continuous improvement, and customer-centric innovation, driving meaningful advancements in data science and artificial intelligence.

What you'll do:

 * Apply advanced statistical and machine learning techniques to develop predictive models that address complex business challenges.
 * Conduct exploratory data analysis and feature engineering to enhance model accuracy and relevance.
 * Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
 * Ensure data quality and governance standards are maintained throughout the analytical process.
 * Support deployment, scalability, and sustainability of analytical models in production environments.
 * Mentor junior associates on modeling techniques and best practices.
 * Utilize data visualization tools to communicate insights and influence decision-making effectively.


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