The Role
Develop predictive and machine learning models, establish data strategies, source and validate data, create visualizations, and deploy scalable production solutions. Translate complex business requirements into actionable insights supporting Walmart’s e-commerce search backend. Monitor model performance, document code, collaborate cross-functionally, and guide junior team members while applying statistical analysis, NLP, and large language model expertise.
Summary Generated by Built In
Position Summary...What you'll do...Role summary:
As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and visualization to support decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive measurable impact. The position demands strong technical proficiency, strategic thinking, and the ability to communicate findings effectively to influence business outcomes and optimize operational performance.
About the team:
Our team advances Walmart’s e-commerce search backend by applying machine learning and advanced algorithms to deliver highly relevant product results. Focused on enhancing the customer journey, the team ensures a smooth transition from intent to purchase. Leveraging expertise in data science, natural language processing, and large language models, the team continuously improves search accuracy and user experience. Collaborating across functions, it supports scalable model deployment and data pipeline development, driving optimized business outcomes through innovative, data-driven solutions.
What you'll do:
What you'll bring:
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.
The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and visualization to support decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive measurable impact. The position demands strong technical proficiency, strategic thinking, and the ability to communicate findings effectively to influence business outcomes and optimize operational performance.
About the team:
Our team advances Walmart’s e-commerce search backend by applying machine learning and advanced algorithms to deliver highly relevant product results. Focused on enhancing the customer journey, the team ensures a smooth transition from intent to purchase. Leveraging expertise in data science, natural language processing, and large language models, the team continuously improves search accuracy and user experience. Collaborating across functions, it supports scalable model deployment and data pipeline development, driving optimized business outcomes through innovative, data-driven solutions.
What you'll do:
- Identify and source relevant data from multiple business domains, ensuring data quality and fitness for purpose.
- Develop and apply data strategies aligned with business objectives, focusing on data management, accessibility, and scalability.
- Design, validate, and tune predictive models using advanced statistical and machine learning techniques to solve complex problems.
- Create clear and impactful data visualizations tailored to stakeholder needs, collaborating with UX/UI teams as required.
- Translate business requirements into analytical solutions, providing actionable insights and recommendations.
- Deploy and monitor models in production, ensuring performance and scalability.
- Write, test, and document code to support data science initiatives and maintain solution integrity.
What you'll bring:
- Strong expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
- Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
- Experience with data strategy, including data quality standards, governance, and scalable data storage solutions.
- Ability to assess, validate, and tune models using best practices and relevant evaluation metrics.
- Skilled in translating complex business problems into data-driven solutions with advanced analytical modeling techniques.
- Knowledge of deploying and monitoring models in production environments to ensure performance and scalability.
- Effective communication skills to present data insights and guide junior team members.
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.
The annual salary range for this position is $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock
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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 fieldPreferred 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), 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.Primary Location...221 River St, Hoboken, NJ 07030, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.Skills Required
- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 4 years of analytics-related experience
- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or a related field and 2 years of analytics-related experience
- 6 years of experience in an analytics or related field
- Expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing
- Proficiency in Python and data visualization tools such as Matplotlib, Plotly, or Tableau
- Experience with data strategy, data quality standards, governance, and scalable data storage solutions
- Ability to assess, validate, and tune models using appropriate evaluation metrics
- Ability to translate complex business problems into data-driven analytical solutions
- Knowledge of deploying and monitoring models in production environments
- Effective communication skills and ability to guide junior team members
- Data science, machine learning, and optimization modeling experience
- PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics
- Successful completion of assessments in Python, Spark, Scala, or R
- Experience with open-source frameworks such as scikit-learn, TensorFlow, or Torch
- Knowledge of WCAG 2.2 AA standards, assistive technologies, and digital accessibility best practices
Walmart Global Tech Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Walmart Global Tech and has not been reviewed or approved by Walmart Global Tech.
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Strong & Reliable Incentives — Compensation packages typically include base pay, performance bonuses, and stock awards, with access to an employee stock purchase plan. Feedback suggests annual bonus structures and stock grants are a consistent part of total compensation in many roles.
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Retirement Support — Retirement offerings include a company 401(k) match and stock purchase options that support long‑term savings. Feedback suggests these programs are a notable strength within the overall package.
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Parental & Family Support — Family benefits feature paid parental leave and adoption assistance, alongside tax‑advantaged accounts for healthcare spending. Feedback suggests these supports contribute meaningfully to perceived total rewards value.
Walmart Global Tech Insights
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The Company
What We Do
Walmart has a long history of transforming retail and using technology to deliver innovations that improve how the world shops and empower our 2.2 million associates. It began with Sam Walton and continues today with Global Tech associates working together to power Walmart and lead the next retail disruption. We’re a high-performing, primarily virtual workforce that is human-led and tech-empowered. Our world-class software engineers, data scientists and engineers, cybersecurity professionals, product managers and business service professionals work with top talent on cutting-edge technologies that create unique and innovative experiences for our associates, customers and members across Walmart, Sam’s Club and Walmart International. At Walmart Global Tech, one line of code or bold idea can make life easier for hundreds of millions of people – talk about epic impact at a global scale.
