(USA) Staff, Data Scientist

Position Summary

The Walmart is seeking a Staff Data Scientist to leverage advanced analytics and machine learning techniques to solve complex business challenges. This role involves identifying and sourcing relevant data, developing predictive models, and delivering actionable insights that drive strategic decisions.

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.
• Create clear and impactful data visualizations to communicate insights to stakeholders.
• Translate complex business problems into data-driven solutions aligned with strategic objectives.
• Collaborate with cross-functional teams to deploy models and monitor performance in production environments.
• Mentor junior team members on analytical methods and best practices.

About the team

The Sandman/Ad-tech team comprises skilled Machine Learning Engineers, Data Scientists, and Full Stack technologists dedicated to delivering scalable, data-driven solutions for Walmart. This multidisciplinary group combines AI, software engineering, and data science to develop autonomous AI agents, deploy reliable applications, and build core engineering capabilities at enterprise scale. By leveraging data, AI, and agile methodologies, the team drives innovation that enhances operational efficiency and supports Walmart’s mission.

What you'll bring

• Proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.
• Proficiency in Python programming and advanced data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
• A strong understanding of data strategy, including data quality standards, governance, and scalable data storage solutions.
• Experience with model assessment, validation techniques, and deployment in production environments.
• Ability to translate complex business requirements into analytical models and actionable insights.
• Knowledge of database technologies including SQL and NoSQL systems.
• Demonstrated capability to communicate technical findings effectively to business stakeholders.

Additional compensation

• Annual or quarterly performance bonuses.
• Stock options for certain positions.

Minimum Qualifications

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
• Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field.
• 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.