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Walmart Global Tech

Senior, Data Scientist

Reposted 4 Days Ago
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Hybrid
Seattle, WA, USA
108K-216K Annually
Senior level
Hybrid
Seattle, WA, USA
108K-216K Annually
Senior level
Senior Data Scientist will design, validate, and deploy scalable ML models (recommendation systems, NLP), source and ensure data quality, assess model performance, produce visualizations, collaborate with stakeholders, and mentor junior team members to deliver data-driven solutions that optimize business outcomes.
The summary above was generated by AI
Position Summary...

What you'll do...
  • Immigration sponsorship is not available for this role
  • This is a full-time, onsite role at our Seattle, WA office.
  • This position is not eligible for remote work.

Role summary:
As a Senior Data Scientist at Walmart, you will leverage advanced analytical techniques and programming expertise to develop, validate, and deploy scalable data models that drive strategic business decisions. This role requires deep understanding of data ecosystems, quality standards, and visualization methods to translate complex data into actionable insights. You will collaborate across functions to identify data sources, assess model performance, and support continuous improvement initiatives. Your contributions will enhance data-driven solutions that optimize operations and deliver measurable value aligned with Walmart’s business objectives.
About the team:
The Content Intelligence team at Walmart - VIZIO specializes in delivering personalized experiences to millions of customers through advanced AI and machine learning models. The team consists of collaborative data scientists and machine learning engineers skilled in statistics, recommendation systems, natural language processing, and artificial intelligence. They focus on designing innovative solutions that enhance customer engagement by providing relevant recommendations. This team values technical expertise, effective communication, and a commitment to continuous improvement, working together to apply cutting-edge methods and tools to solve complex business challenges and drive impactful results.
What you'll do:
  • Identify and source relevant data from multiple business domains, ensuring data quality and suitability for analysis.
  • Develop, test, and deploy advanced analytical models using statistical and machine learning techniques to solve complex business problems.
  • Collaborate with stakeholders to translate business requirements into data-driven solutions aligned with strategic objectives.
  • Perform model validation, tuning, and performance assessment to ensure accuracy and scalability in production environments.
  • Create clear, insightful data visualizations and presentations to communicate findings and influence decision-making.
  • Mentor junior team members on analytical methods, coding best practices, and business context understanding.

What you'll bring:
  • Extensive experience in data science and advanced statistical methods to develop and validate analytical models.
  • Proficiency in programming languages such as Python, SQL, and Java for code development, testing, and model deployment.
  • Strong knowledge of machine learning techniques, including feature selection, tuning, and multistage model assessment.
  • Expertise in data visualization tools and best practices to effectively communicate complex data insights.
  • Understanding of data ecosystems, data quality standards, and scalable data storage solutions.
  • Ability to translate business requirements into data-driven solutions aligned with strategic objectives.
  • Experience mentoring junior associates and collaborating cross-functionally to deliver impactful business results.
Equal Opportunity Employer:
Walmart is an Equal Opportunity Employer – by choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing unique styles, experiences, identities, ideas and opinions while being welcoming of all people.  
The above information has been designed to indicate the general nature and level of work performed in the role. It is not designed to contain or be interpreted as a comprehensive inventory of all responsibilities and qualifications required of employees assigned to this job. The full Job Description can be made available as part of the hiring process.   
#LI-onsite At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $108,000.00 - $216,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 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, Master’s degree 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...

300 Elliott Ave W, Seattle, WA 98119-4136, United States of AmericaWalmart 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.

Walmart Global Tech Seattle, Washington, USA Office

Seattle, WA, United States

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