Job Description

What you'll do at

Position Summary...

What you'll do...

We are looking for a Staff Data Scientist to join our science team and develop state-of-the-art models to power Product Search across Walmart’s multiple international markets. Our mission is to provide our customers with the most delightful user experience throughout their online shopping journey with us. We create powerful AI and ML powered solutions for highly intricate real-world problems. You will be working on these industry-defining problems and be able to push the frontiers of Search Science by advancing areas including information retrieval, search, recommendation systems, natural language processing, optimization, algorithms and customer-facing large systems and service designs.

What you will do:

• Partner with other data scientists, engineers and product managers to design, train, test and deploy machine learning models.
• Work on projects with substantial ambiguity and translate business and engineering requirements to identify and define a clear roadmap to deliver the ML models.
• Perform rigorous offline and A/B testing of your models and communicate your findings to technical and non-technical stakeholders, both verbally and through written communications.
• Bring in bleeding-edge academic research and industry practices and demonstrate originality and creativity in developing novel solutions for Search.
• You will help maintain models, improve them as needed to bring in cutting-edge research, within a highly scalable infrastructure.
• You will mentor early-career data scientists, work as a tech lead and technology expert within the organization.
• You are strongly encouraged to publish your research and novel findings in internal and external research and industry conferences and journals, and file patent applications.

What you will bring:

• Have a MS/PhD in relevant technical degree (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering etc.) with 6+ years of relevant work experience.
• Must have a deep background in NLP, Search Science, Recommendation Systems, Machine Learning, Deep Learning, Optimization, Algorithm and Software development.
• It is strongly preferred that you have prior knowledge of Search or Recommendation Systems related technology and Generative AI.
• Sound knowledge of Python, SQL, PySpark, Machine Learning Libraries, Big Data processing systems in cloud environment is expected.
• A track record of building ML models or delivering impactful customer-facing products as tech lead and mentoring early-career data scientists.
• Experience of publications in peer-reviewed conferences and journals or patent filings.

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.

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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.

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For information about PTO, see .

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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.

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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.

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For information about benefits and eligibility, see One.Walmart .

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The annual salary range for this position is $143,000.00-$286,000.00

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Additional compensation includes annual or quarterly performance bonuses.

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Additional compensation for certain positions may also include:

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- 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: 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.

Primary Location...

840 W California Ave, Sunnyvale, CA 94086-4828, United States of America

Job Tags

Holiday work, Permanent employment, Full time, Temporary work, Part time, Work experience placement,

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