Position: Senior Data Scientist, AI Labs
Job Location: 811 Excellence Dr, Bentonville, AR 72716
Duties: Lead and drive the development of advanced AI models and algorithms to solve complex business problems, leveraging expertise in analytics, big data, and automation methods. Collaborate with cross-functional teams to identify business needs and translate them into data-related or mathematical solutions, using the most effective tools and methods available. Provide expert guidance and advice to team members, aligning efforts to meet customer and business needs, and fostering commitment to perspectives and rationales. Understand the business context by having knowledge of industry and environmental factors, common business practices across multiple domains, and relevant business metrics. Provide recommendations to business stakeholders, develop business cases for projects, and serve as a bridge between business needs and tangible solutions. Develop and test code for AI solutions, using recommended programming languages and incorporating business, technical, and data requirements.
Minimum education and experience required: Master’s degree or the equivalent in Analytics, Mathematics, Computer Science, or a related field. Position does not require specific years of experience but requires listed skills.
Skills Required: Must have experience with: Implementing data analysis and data mining using Python and R for data-driven decision making; Applying SQL and NoSQL databases for data management and management; Experience with data mining algorithms and techniques: GLMs, CART/CHAID, Random Forests, Gradient Boosting, Cluster Analysis, Recommender systems, Time Series Analysis, Survival Analysis, Text Mining; Python or R and SQL; Working in big data environments like Hadoop, Hive or Spark; Coding in languages including Java, C++, and Python for solution development and deployment; Using Docker containerization and Kubernetes for encapsulating applications and their dependencies for consistent operation; Utilizing Cloud platform for scalable and flexible application deployment and operation, such as Microsoft Azure and AWS; Using Git for version control; and Leveraging analytics and automation techniques to translate business problems into mathematical solutions. Employer will accept any amount of experience with the required skills.
Rate of pay: $94,557.00 - 180,000.00/year
Wal-Mart is an Equal Opportunity Employer.
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.Skills Required
- Master's degree or equivalent in Analytics, Mathematics, Computer Science, or related field.
- Experience implementing data analysis and data mining using Python and R.
- Experience applying SQL and NoSQL databases for data management.
- Experience with data mining algorithms and techniques (GLMs, CART/CHAID, Random Forests, Gradient Boosting, Clustering, Recommender systems, Time Series, Survival Analysis, Text Mining).
- Experience working in big data environments such as Hadoop, Hive, or Spark.
- Proficiency coding in Java, C++, and Python for solution development and deployment.
- Experience with Docker containerization and Kubernetes orchestration.
- Experience using cloud platforms such as Microsoft Azure and AWS.
- Experience using Git for version control.
- Ability to translate business problems into mathematical/analytic solutions and communicate recommendations to stakeholders.
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
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.
