(USA) Senior, Data Scientist
802 Respect Dr
Bentonville, AR 72716-0000
Bentonville, AR 72716-0000
R-2534610
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$90,000 - $180,000/yr
Regular/ Permanent
Salaried
Position Summary...
What you'll do...
Role summary:As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and domain expertise to identify, develop, and deploy data-driven solutions that support strategic business objectives. This role involves designing robust models, ensuring data quality, and translating complex data into actionable insights through effective visualization and communication. You will collaborate across functions to align data initiatives with business priorities, mentor team members, and contribute to scalable, sustainable analytical frameworks that drive measurable value and innovation within the organization.
About the team:
Our team leads last-mile strategy to enhance customer experience, operational efficiency, and cost performance across Walmart’s delivery network. We specialize in optimizing catchment areas, sourcing, depot operations, and delivery capabilities to provide faster, reliable, and cost-effective fulfillment solutions. By leveraging advanced data science, machine learning, and data visualization techniques, the team drives actionable insights that improve service quality and operational outcomes. Collaboration and innovation are central to our approach, ensuring continuous improvement in meeting business goals and delivering value to customers through data-driven decision-making.
What you'll do:
- Identify and evaluate data sources aligned with business requirements and quality standards.
- Develop, test, and deploy analytical models using advanced statistical and machine learning techniques.
- Perform data quality assessments and ensure data integrity across distributed systems.
- Translate complex business problems into data-driven solutions and actionable insights.
- Create clear, impactful visualizations to communicate findings to stakeholders.
- Collaborate with cross-functional teams to integrate models into production environments.
- Mentor junior associates on data science methodologies and best practices.
- Support data strategy by applying governance, scalability, and accessibility principles.
What you'll bring:
- Extensive experience in data science and machine learning, with proficiency in Python programming.
- Strong knowledge of data source identification, data quality assessment, and database technologies including SQL and NoSQL.
- Expertise in analytical modeling techniques, model validation, tuning, and deployment for scalable production use.
- Proficiency in data visualization tools and best practices to effectively communicate complex data insights.
- Ability to translate business requirements into data-driven solutions with a clear understanding of business context.
- Experience mentoring junior associates and collaborating cross-functionally to deliver impactful data insights.
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 $90,000.00 - $180,000.00 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- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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.Primary Location...
802 Respect Dr, Bentonville, AR 72716, 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.Walmart is 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.
Benefits you’ll enjoy
Discount Card
Get 10% off
Walmart associates are eligible for a 10% discount card on most regular-priced items and fresh produce in-store and on select items at Walmart.com. Eligible after 90 days of employment.
Live Better U
100% covered
Earn a degree or in-demand skills certificates with no debt- Walmart covers 100% of tuition and books. Live Better U offers 60+ programs for Associates to pursue their dreams.
Walmart Academy
Grow your skills
Ready to grow your career? Walmart Academy offers job-specific retail training and leadership courses to help Associates reach their career goals.
Financial perks
Enjoy 401(k) matching and stock purchase plans.
Paid time off
Take a break as needed for vacation, sick leave, holidays, parental leave, and more
Comprehensive health benefits
Medical, dental, vision, and wellness programs for you and your family
Wellbeing programs
Access mental health resources and assistance programs for life’s challenges
Career growth opportunities
Training, leadership programs, and clear paths to advance.
Life at Walmart
Imagine a workplace surrounded by innovation.
At Walmart’s new Home Office in Bentonville, Arkansas, we’re redefining what it means to work at a global leader.
Set on 350 acres of thoughtfully revitalized land, our new campus seamlessly integrates the charm of Northwest Arkansas with cutting edge design and technology. From biking trails and outdoor courtyards to flexible, tech-enabled workspaces, every detail reflects our commitment to sustainability, connection, and culture.
With amenities like on-site childcare at our Little Squiggles Children’s Enrichment Center, the Walton Family Whole Health & Fitness Center, and a vibrant food hall featuring local and international favorites, we’re creating a space where work-life balance isn’t just a goal—it’s a reality.
Beyond the campus, Bentonville offers a dynamic lifestyle with world-class dining, art at the Crystal Bridges Museum, and countless outdoor activities.
Beyond the campus, Bentonville offers a dynamic lifestyle with world-class dining, art at the Crystal Bridges Museum, and countless outdoor activities.
Whether you’re exploring High South cuisine, enjoying live performances at our new amphitheater, or cycling the Razorback Greenway, you’ll experience the perfect blend of small-town charm and big-city amenities.
Join us at Walmart and grow your career alongside a community that feels like home.
This isn’t just a workplace—it’s a destination for leaders eager to make a difference.
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