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Data Scientist

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: Walmart Inc.
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Scientist, Data Engineering
Salary/Wage Range or Industry Benchmark: 143000 - 286000 USD Yearly USD 143000.00 286000.00 YEAR
Job Description & How to Apply Below

1345 Crossman Ave
Sunnyvale, CA

R-2592781

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$143,000 - $286,000/yr

Position Summary... What you'll do... Position Summary... What you'll do...
Role summary:
The Staff Data Scientistwillleveragedatasciencemethodologies ,dataengineeringtechniqueandstrongcodingskillstodeliveractionableinsightsthatsupportstrategicbusinessdecisions.

Thisroleinvolvesidentifyingandsourcingrelevantdata,developingandvalidatingpredictivemodels,andcreatingcompellingdatavisualizationstocommunicatefindingseffectively.

Thepositionrequirescollaborationacrossfunctionstotranslatecomplexbusinesschallengesintodata-driven solutions,ensuringmodeldeploymentandscalabilityandbuildingscalableplatform.

Theidealcandidatewillapplyrigorousstatisticalmethods,automation,andmachinelearningexpertisetoenhancedatastrategyanddrivecontinuousimprovementalignedwithorganizationalgoals.
About the team:
Join the personalization marketing data science team at Walmart, collaborating with engineering, business, and product teams across digital marketing channels including SEM, SEO, CRM, and Display. The team develops scalable, data-driven solutions to optimize marketing effectiveness and generate high-quality demand efficiently. Members analyze extensive omni-channel commerce data to build models and algorithms that support business growth. Working alongside skilled data scientists, engineers, marketers, and product managers, the team creates advanced marketing science platforms that enhance strategies and deliver actionable insights across the organization.
What you'll do:
  • Utilize cutting-edgemachinelearning/statistical/platformbuildingtechniquestodeliversolutionsforprojectsinthedomainofmarketingscienceandpersonalization
  • Designstatisticallysoundexperimentstoproperlyevaluatetheeffectiveness;
  • Build,validate,testanddeploypredictivemodelsusingmachinelearningtechniquestoexplainorpredictcustomerbehaviors
  • Minemassivedata,derive businessinsights,andproposeinterestingmodelingprojectsthathavethepotentialtohavehighbusinessimpact;
  • Standardizeandbuildscalableandhighlyavailablesystemsthatfollowoperationalbestpractices;
  • Developingvisualsandreportstoefficientlycommunicatingmodelresultsandinsightstobusinessteams.
  • Mentor Juniorteammembers
What you'll bring:
  • Proven expertise in predictive analytics, machine learning algorithms, and statistical hypothesis testing.
  • Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
  • Strong knowledge of data engineering, data pipelines, and MLOps for scalable model deployment.
  • Experience in data source identification, data quality assessment, and data strategy implementation.
  • Ability to develop, validate, and tune advanced analytical models using appropriate evaluation metrics.
  • Skilled in translating complex business problems into data-driven solutions with clear communication.
  • Familiarity with experimentation design, statistical inference, and automation techniques in data science.

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…

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