(USA) Staff, Data Scientist
$132k - $264kWalmart
Reference: R-2611952Posted: 2026-09-02Location: HOBOKEN, NJ, United StatesSalary: $132000 - $264000/yearType: Full time / Regular/PermanentCompany: WalmartBusiness Segment: Home OfficeRole summary: As a Staff Data Scientist at Walmart, you will leverage advanced analytical techniques and machine learning to transform complex data into actionable business insights. This role requires expertise in data strategy, model development, and 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 impact. The position demands strong technical proficiency, strategic thinking, and the ability to communicate findings effectively to influence business outcomes and optimize operational performance. About the team: Our team advances Walmart’s e-commerce search backend by applying machine learning and advanced algorithms to deliver highly relevant product results. Focused on enhancing the customer journey, the team ensures a smooth transition from intent to purchase. Leveraging expertise in data science, natural language processing, and large language models, the team continuously improves search accuracy and user experience. Collaborating across functions, it supports scalable model deployment and data pipeline development, driving optimized business outcomes through innovative, data-driven solutions. What you'll do:Identify and source relevant data from multiple business domains, ensuring data quality and fitness for purpose.Develop and apply data strategies aligned with business objectives, focusing on data management, accessibility, and scalability.Design, validate, and tune predictive models using advanced statistical and machine learning techniques to solve complex problems.Create clear and impactful data visualizations tailored to stakeholder needs, collaborating with UX/UI teams as required.Translate business requirements into analytical solutions, providing actionable insights and recommendations.Deploy and monitor models in production, ensuring performance and scalability.Write, test, and document code to support data science initiatives and maintain solution integrity.What you'll bring:Strong 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.Experience with data strategy, including data quality standards, governance, and scalable data storage solutions.Ability to assess, validate, and tune models using best practices and relevant evaluation metrics.Skilled in translating complex business problems into data-driven solutions with advanced analytical modeling techniques.Knowledge of deploying and monitoring models in production environments to ensure performance and scalability.Effective communication skills to present data insights and guide junior team members. 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 . 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 $132,000.00 - $264,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include : - StockMinimum 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["Using open source frameworks (for example, scikit learn, tensorflow, torch)", "Data science, machine learning, optimization models", "Successful completion of one or more assessments in Python, Spark, Scala, or R", "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.", "PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics"]
$143k - $286k
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$142.32k - $213.48k
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$65 - $70 per hour
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