(USA) Staff, Data Scientist
About The Position
Join Walmart as a Staff Data Scientist and leverage advanced analytics, statistical methods, and domain expertise to solve complex business problems and drive strategic decisions. This role involves analyzing customer behavior and business performance, designing and evaluating digital experiments, developing predictive models, and translating insights into actionable recommendations. You will apply expertise in SQL, Python, statistical methods, and data visualization to analyze complex datasets and quantify business impact. Collaborating across functions, you will lead analytical strategy for high-impact initiatives, establish rigorous analytical approaches, mentor data scientists, and influence decisions that improve customer experience and profitability. The Convert Analytics team within Walmart’s eCommerce Decision Sciences organization enhances customer experience, conversion, and fulfillment efficiency to drive profitable growth. Collaborating closely with Product, Finance, Engineering, and Business teams, the group applies advanced analytics and experimentation to inform strategic decisions. The Profitability team specializes in analyzing eCommerce contribution profit, fulfillment costs, and fee structures to identify opportunities for improvement. Emphasizing strong analytical skills, business insight, and proactive collaboration, the team delivers actionable insights that support measurable business impact and continuous optimization across Walmart’s eCommerce operations.
Requirements
- 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 establish analytical best practices.
- Bachelors 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
Nice To Haves
- 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)
- Creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
- Knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.
Responsibilities
- Identify and validate data across multiple business domains, ensuring accuracy and suitability for analysis.
- Lead complex analytical initiatives to solve ambiguous business problems and inform 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.
- Perform exploratory data analysis, root cause analysis, and hypothesis testing to identify 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 impactful visualizations and actionable recommendations.
- Mentor data scientists on analytical methods, experimentation, and best practices.
Benefits
- Performance-based bonus awards
- Medical coverage
- Vision coverage
- Dental coverage
- 401(k)
- Stock purchase
- Company-paid life insurance
- PTO (including sick leave)
- Parental leave
- Family care leave
- Bereavement
- Jury duty
- Voting leave
- Short-term disability
- Long-term disability
- Company discounts
- Military Leave Pay
- Adoption and surrogacy expense reimbursement
- PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes
- Live Better U (Walmart-paid education benefit program for full-time and part-time associates)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
