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Walmart (USA) Senior, Data Scientist in New York, New York

Position Summary...

Join Walmart|VIZIO and take your career to the next level!

We are looking for a highly talented and motivated Data Scientist to help deliver strategic initiatives across the organization. We look for people who can effectively partner with Product Management, Engineering, and business leaders to deliver easy, effective, and insightful analytics. We are a growing team, focusing on challenging problems that make a difference to our business. We concentrate on high-impact, high-value development, and analysis. We are looking for someone who is versatile, methodical, excited by modern technology and enjoys focusing on tackling software challenges.

What you'll do...

About the Data Science Team:

Our Data Science team operates at the heart of VIZIO/Walmart's mission to deliver the best shopping experience to our customers. We leverage advanced analytics, machine learning, and big data to drive business insights and strategic decisions. As a Senior Data Scientist, you will play a crucial role in enhancing our data capabilities and contributing to VIZIO/Walmart’s growth and innovation.

What You’ll Do:

  • Solve novel and complex business problems with high-quality, maintainable code.

  • Collaborate cross-functionally with Product Managers and Engineering teams to gather requirements and develop solutions.

  • Analyze high volumes of data to understand business problems and propose technical solutions.

  • Develop and iterate on machine learning models, from quick prototypes to production deployment.

  • Evaluate the efficacy and value of product features using data-driven insights.

  • Organize and document complex technical projects.

What You’ll Bring:

  • Expertise in big data analytics and automation techniques.

  • Strong understanding of business contexts and the ability to translate business problems into data solutions.

  • Proficiency with database technologies and distributed datastores (e.g., SQL, NoSQL).

  • Experience in developing and deploying machine learning models.

  • Experience writing production code in Python, fluent in PySpark

  • Expertise with at least one ML framework (pytorch, tensorflow, jax)

  • Experience with CI/CD frameworks

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 (https://bit.ly/3iOOb1J) .

New York, New York US-11582:The annual salary range for this position is $108,000.00-$216,000.00

San Francisco, California US-11574:The annual salary range for this position is $117,000.00-$234,000.00

Additional compensation includes annual or quarterly performance bonuses.

Additional compensation for certain positions may also include:

  • Stock

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...

350 5Th Ave, New York, NY 10118-4801, United States of America

Walmart, Inc. 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 diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.

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