Walmart is hiring a Staff Data Scientist (onsite) in Sunnyvale, CA to apply advanced analytics and experimentation to complex business problems.

Identify and validate data across multiple business domains, ensuring accuracy and suitability for analysis.
Lead complex analytical initiatives to address ambiguous business problems and support strategic decisions.
Design and evaluate A/B tests using rigorous statistical methods to measure business impact.
Develop predictive models using advanced statistical and machine learning techniques.
Conduct exploratory data analysis, root cause analysis, and hypothesis testing to uncover opportunities.
Build scalable analytical frameworks and automated solutions to monitor business performance.
Partner with cross-functional teams to influence business and product decisions.
Communicate insights through effective visualizations and actionable recommendations.
Mentor data scientists on analytical methods, experimentation, and best practices.

Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
Strong proficiency in SQL, Python, and complex datasets.
Knowledge of A/B testing, statistical hypothesis testing, and experimental design.
Strong analytical skills in exploratory data analysis, root cause analysis, and model validation.
Experience developing scalable analytical frameworks, predictive models, and automated solutions.
Ability to independently structure ambiguous business problems and deliver actionable recommendations.
Strong business acumen and expertise in data visualization tools and best practices.
Ability to communicate complex insights effectively and influence stakeholders.
Strong understanding of data quality and governance standards.
Ability to mentor data scientists and help establish analytical best practices.

Option 1: Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 4 years of experience in an analytics-related field.
Option 2: Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field AND 2 years of experience in an analytics-related field.
Option 3: 6 years of experience in an analytics or related field.

Background in data science, machine learning, and optimization models; PhD 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.
Experience using open source frameworks, for example scikit learn, tensorflow, and torch.
Knowledge of implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility into digital experiences.
Knowledge of accessibility best practices and alignment with Walmart accessibility standards and guidelines for supporting an inclusive culture.

Apply advanced analytics, statistical methods, and domain expertise to solve complex business problems and drive strategic decisions.
Analyze customer behavior and business performance.
Design and evaluate digital experiments and develop predictive models.
Use SQL, Python, statistical methods, and data visualization to quantify business impact and recommend next actions.

The Convert Analytics team within Walmart’s eCommerce Decision Sciences organization enhances customer experience, conversion, and fulfillment efficiency to drive profitable growth.
Works closely with Product, Finance, Engineering, and Business teams using advanced analytics and experimentation to inform strategic decisions.
The Profitability team focuses on eCommerce contribution profit, fulfillment costs, and fee structures to identify improvement opportunities.
Emphasizes strong analytical skills, business insight, proactive collaboration, and continuous optimization across Walmart’s eCommerce operations.

Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related

Staff, Data Scientist

Job Description