(USA) Staff, Data Scientist
Walmart
Location
🇺🇸 Fayetteville, United States
Type
full_time
Salary
$110k–$220k
Posted
2w ago
Job Description
Position Summary
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What you'll do
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Role summary
: The (USA) Staff, Data Scientist plays a critical role in leveraging advanced analytics and machine learning to deliver actionable business insights. This position involves identifying and validating data sources, developing predictive models, and deploying scalable solutions that align with strategic objectives.
The role
requires expertise in data strategy, visualization, and coding to translate complex business challenges into data-driven solutions. Collaborating across functions, the incumbent supports decision-making processes by providing clear, impactful analyses while mentoring team members and ensuring adherence to data quality and governance standards. About the team: Our team develops advanced agentic and chat-based AI solutions to support corporate affairs. We work closely with business partners to design, deploy, and enhance AI applications addressing key initiatives such as environmental responsibility and philanthropic efforts. Leveraging expertise in predictive analytics, machine learning, data strategy, and visualization, the team transforms complex data into actionable insights. Collaboration and innovation drive our approach, enabling us to deliver impactful solutions that align with business goals and promote continuous improvement across various projects.
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 integrity for accurate analysis and modeling. Develop, validate, and tune predictive models using advanced statistical and machine learning techniques. Design and implement data visualizations to effectively communicate insights to stakeholders. Translate complex business problems into data-driven solutions aligned with strategic objectives. Collaborate with cross-functional teams to deploy scalable models and monitor their performance in production. Mentor team members on analytical methods, coding best practices, and data storytelling.