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# (USA) Staff, Data Scientist

- **Company:** Wal-Mart Stores, Inc.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $132,000.0 - $264,000.0
- **Contract:** Permanent contract
- **Skills:** Adobe Analytics, Web Accessibility, Data Analysis, Application Frameworks, Distributed Computing Environment, Python (Programming Language), Machine Learning, Tensorflow, Scala (Programming Language), Web Content Accessibility Guidelines, Pytorch, Apache Spark, Deep Learning, Model Validation, Pyspark, Scikit Learn, Information Technology, Machine Learning Operations
- **Published:** August 27, 2026
- **Apply:** https://dejobs.org/x/x/81C7F6A7F8A2454786E74CBFB95CA430/job/

## About the Role

with modern ML frameworks such as PyTorch, TensorFlow, or JAX. Demonstrated ability to operate in ambiguous, technically complex problem spaces and lead high-impact initiatives from problem formulation through deployment and iteration. Strong communication and cross-functional collaboration skills, with experience influencing technical decisions and aligning stakeholders to deliver impactful machine learning solutions. 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, 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.

## Description

As a Staff Data Scientist, you will lead the development and deployment of machine learning solutions that power personalization and ad targeting across VIZIO. You'll tackle complex, ambiguous business and product challenges by translating customer needs into scalable ML systems and driving them through rigorous evaluation, experimentation, and iteration. Working closely with Product, Engineering, and fellow Data Scientists, you'll shape solution approaches, influence technical decisions, and deliver measurable business impact. You'll contribute hands-on development of machine learning and deep learning models at scale, champion best practices in modeling and experimentation, and help drive technical excellence across high-impact initiatives., methodologies and online experimentation frameworks to measure model and system performance. Partner closely with Product, Engineering, and cross-functional stakeholders to align on priorities, navigate technical tradeoffs, and drive execution across initiatives. Lead projects from ideation through deployment, monitoring, and ongoing optimization in production environments. Champion best practices in modeling, experimentation, and ML development, helping drive scalable, reliable, and impactful machine learning solutions. About You: Extensive experience designing, training, and deploying machine learning models for real-world systems, particularly in personalization, recommendation, ranking, targeting, or related domains. Deep foundations in machine learning and statistics, including deep learning, optimization, model evaluation, experimentation, and scalable model development. Production Python experience, familiarity with distributed data processing tools such as PySpark, and proficiency


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