(USA) Data Scientist III

About the role

Walmart is seeking a Data Scientist III to advance data-driven decision-making by applying advanced analytical modeling, statistical methods, and machine learning techniques. This role involves developing and deploying scalable models, conducting exploratory data analysis, and collaborating across business functions to deliver actionable insights. The successful candidate will leverage expertise in data management, quality standards, and programming to support business objectives and optimize data assets. This position requires strong problem-solving skills, technical proficiency, and the ability to communicate complex findings effectively to influence strategic initiatives.

About the team

Our team develops advanced digital experiences for Walmart Business, enabling businesses to efficiently discover and purchase products via the website and app. We focus on business-specific solutions such as customer onboarding, verification, business identity, inventory discovery, and personalized shopping journeys. Leveraging AI, data, and scalable engineering, we create intelligent experiences that enhance product discovery and drive qualified traffic through innovative GenAI search and citation engines. This team is dedicated to solving complex customer challenges at scale and shaping the future of AI-powered commerce in B2B environments.

Responsibilities

• Apply advanced statistical and machine learning techniques to develop and refine analytical models that address complex business challenges.
• Conduct exploratory data analysis, feature selection, and hypothesis testing to generate actionable insights.
• Collaborate with cross-functional teams to translate business requirements into scalable data solutions and model deployments.
• Ensure data quality, governance, and management standards are maintained throughout the data lifecycle.
• Develop, test, and optimize code using SQL, Python, and other programming languages to support data pipelines and model integration.
• Mentor junior associates on analytical methods and best practices.
• Communicate findings through effective data visualization and storytelling to influence business decisions.

Requirements

• Proven expertise in data management and data quality within complex ecosystems.
• Advanced proficiency in statistical methods, machine learning algorithms, and analytical modeling techniques including Bayesian inference and neural networks.
• Strong programming skills in SQL, Python, and R, with experience in code development, testing, and model deployment.
• Ability to conduct exploratory data analysis, feature engineering, and performance modeling to deliver actionable business insights.
• Experience with big data tools such as Apache Spark for scalable model development.
• Solid understanding of business requirements and domain knowledge across multiple functions to translate problems into data-driven solutions.
• Capability to mentor junior associates and communicate complex data findings effectively using advanced visualization tools.

Qualifications

Minimum Qualifications:

• Option 1: Bachelor's 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: Master's 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:

• Data science, machine learning, optimization models.
• Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics.
• Successful completion of one or more assessments in Python, Spark, Scala, or R.
• Using open source frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• 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.

Benefits

• Health benefits: Medical, vision, and dental coverage.
• Financial benefits: 401(k), stock purchase, and company-paid life insurance.
• Paid time off: PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Education benefits: Live Better U, a Walmart-paid education benefit program for full-time and part-time associates. 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.

You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount depends on your job classification and length of employment and will meet or exceed the requirements of paid sick leave laws, where applicable.

Pay

• Bentonville, Arkansas: The annual salary range for this position is $90,000 - $180,000.
• Sunnyvale, California: The annual salary range for this position is $117,000 - $234,000.

Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include stock.

Primary location: 1601 SE 10th St, Bentonville, AR 72716, United States of America.