layiq
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
Loading LAYIQ…Job opportunity
Walmart
Sunnyvale, CA
Source: Walmart careers · View original posting
From Walmart's posting. “We” and “our” refer to the employer.
Position Summary...
What you'll do...
Role Summary
As a Staff Data Scientist at Walmart, you will leverage advanced analytics and machine learning techniques to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and data visualization to support decision-making across multiple business domains. You will collaborate with cross-functional teams to identify data sources, validate models, and deploy scalable solutions that drive measurable business value.
Your contributions will strengthen data-driven strategies, ensure alignment with business objectives, and promote best practices in analytics and data science while mentoring associates.
Join the Fraud and Risk Detection Data Science team at Walmart Global Tech, where you will collaborate with data scientists, engineers, product managers, and business professionals. This cross-functional team operates at the intersection of data science, big data, IT infrastructure, and business operations.
Team members leverage advanced machine learning, deep learning, and optimization techniques to develop scalable predictive models and analytics solutions. The team works with large volumes of business and customer data generated across Walmart's online and offline commerce platforms, driving impactful insights and innovations that support critical decision-making and enhance operational effectiveness across the organization.
The annual salary range for this position is $143,000.00 - $286,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include :
ㅤ
ㅤ
ㅤ
ㅤ
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field
Preferred Qualifications...
Outlined below are the optional preferred qualifications for this position. If none are listed, there are no 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. The ideal candidate would have 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.
Primary Location...
815 Eleventh Ave, Sunnyvale, CA 94089-4731, United States of America
Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Employer posted: