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Data Scientist — ML, Data Strategy, Visualization

Listing for: Walmart Inc.
Full Time position Listed on 2026-11-10
Job specializations:
Salary/Wage Range or Industry Benchmark: 143000 - 286000 USD Yearly USD 143000.00 286000.00 YEAR

Job Description & How to Apply Below

Bellevue, WA:
The pay range will be discussed during the hiring process

Bentonville, AR: $110,000 - $220,000/yr

Regular/ Permanent

Position Summary...As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, validation, and deployment to support critical decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, ensure data quality, and communicate findings through effective visualization.

Your contributions will drive innovation and operational excellence, enabling Walmart to optimize performance and deliver measurable value in a dynamic, data-driven environment.

Position Summary...As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, validation, and deployment to support critical decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, ensure data quality, and communicate findings through effective visualization.

Your contributions will drive innovation and operational excellence, enabling Walmart to optimize performance and deliver measurable value in a dynamic, data-driven environment.

What you'll do...
About the team:
The team specializes in leveraging advanced data science techniques, including predictive analytics, machine learning, and data visualization, to deliver actionable business insights. Members collaborate across functions to identify data sources, ensure data quality, and develop robust analytical models. They apply statistical methods and programming skills to solve complex problems, support data strategy, and communicate findings effectively to stakeholders. The team fosters continuous learning and innovation, driving improvements through rigorous model validation and deployment.

Their work supports informed decision-making and contributes to achieving strategic business objectives within a dynamic environment.
What you'll do:

  • Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
  • Develop and implement data strategies aligned with business objectives to unlock value from data assets.
  • Build, validate, and tune predictive models using advanced statistical and machine learning techniques.
  • Create clear and impactful data visualizations to communicate insights effectively to stakeholders.
  • Translate complex business problems into data-driven solutions and actionable recommendations.
  • Collaborate with cross-functional teams to deploy scalable models and monitor their performance.
  • Mentor junior team members on analytical methods, coding best practices, and data storytelling.
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, or Tableau.
  • Strong knowledge of data strategy, including data quality standards, governance, and scalable data storage solutions.
  • Experience conducting exploratory data analysis and applying statistical methods to interpret complex datasets.
  • Ability to assess, validate, and tune models using best practices and relevant evaluation metrics.
  • Understanding of business context to translate requirements into actionable data-driven solutions.
  • Skilled in coding, testing, and deploying models and data applications in production environments.
At Walmart, we offer…
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