(USA) Staff, Data Scientist

Walmart; Bentonville (AR); On-site; USD 110,000 - 220,000; Full time

Benefits offered by this job

Stock

Health benefits

PTO & leave

Education benefits

Job summary

Walmart in Bentonville, AR is seeking a Staff Data Scientist to transform complex data into actionable business insights. You will develop predictive models, ensure data quality, and deploy solutions that support strategic decisions across functions.

You will mentor teammates, collaborate on data strategy and visualization, and communicate findings with stakeholders. The role offers a competitive salary, bonuses, comprehensive benefits, and stock options.

Qualifications

• Proven expertise in predictive analytics and machine learning algorithms to develop and validate robust models.
• Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau for effective data representation.
• Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.

Responsibilities

• Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
• Perform data quality assessments and ensure data suitability for modeling and analysis.
• Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
• Translate complex business problems into data-driven solutions aligned with strategic objectives.
• Create clear, impactful data visualizations and presentations tailored to stakeholder needs.
• Collaborate with cross-functional teams to deploy scalable models and monitor performance in production.
• Mentor junior team members on analytical methods, coding best practices, and data storytelling.

Skills

Predictive analytics

Machine learning

Python

Data visualization

Data strategy

SQL/NoSQL data sourcing

Education

Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field

6 years' experience in analytics or related field

Tools

Matplotlib

Plotly

Tableau

Spark

Scala

R

Job description

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, validation, and deployment to support key business decisions. You will collaborate across functions to identify data sources, ensure data quality, and create impactful visualizations that communicate findings effectively. Your contributions will drive innovation and operational excellence, enabling Walmart to optimize performance and deliver value through data-driven solutions in a dynamic retail environment.

About the team: The Walmart team integrates expertise in data science and computer vision to advance safety and security initiatives. Focused on fraud prevention, threat detection, and digital risk management, the team drives cloud transformation and leverages predictive analytics, machine learning, and data visualization to enhance decision-making and operational reliability. Collaboration and continuous improvement are central to their approach, ensuring accuracy and sustainable growth. This team plays a vital role in maintaining a secure environment and stakeholder confidence by delivering innovative, data-driven solutions aligned with Walmart’s strategic objectives.

What you’ll do

• Identify and source relevant data from multiple business domains and databases to support analytics initiatives.
• Perform data quality assessments and ensure data suitability for modeling and analysis.
• Develop, validate, and tune predictive models using advanced statistical and machine learning techniques.
• Translate complex business problems into data-driven solutions aligned with strategic objectives.
• Create clear, impactful data visualizations and presentations tailored to stakeholder needs.
• Collaborate with cross-functional teams to deploy scalable models and monitor performance in production.
• Mentor junior team members on analytical methods, coding best practices, and data storytelling.

What you’ll bring

• Proven expertise in predictive analytics and machine learning algorithms to develop and validate robust models.
• Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau for effective data representation.
• Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.
• Experience in identifying and sourcing relevant business data from SQL and NoSQL databases.
• Ability to translate complex business requirements into analytical models and actionable insights.
• Skilled in model assessment techniques and continuous model improvement for production deployment.

The annual salary range for this position is $110,000.00 - $220,000.00. Additional compensation includes annual or quarterly performance bonuses.

Additional compensation

• Stock

Benefits

• 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.

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

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

805 Se Moberly Ln., Bentonville, AR 72712, United States of America

Walmart 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.