Data Scientist

Wal-Mart Stores, Inc.
San Mateo, CA, United States
2 days ago
Apply on www.themuse.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Compensation
$117,000.0 - $234,000.0
Working hours
Regular working hours

Tech stack

Adobe Analytics A/B Testing Web Accessibility Artificial Intelligence Data Analysis Application Frameworks Big Data Python (Programming Language) Machine Learning Natural Language Processing Recommender Systems Tensorflow
+12 more
Scala (Programming Language) Software Engineering SQL Databases Web Content Accessibility Guidelines Apache Spark Deep Learning Generative AI Pyspark Scikit Learn Information Technology Google Shopping Software Library

Job description

We are looking for a 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 have the opportunity to push the frontiers of Search by advancing areas including AI, ML, NLP, Optimization, Algorithm, and customer-facing large system 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.
  • Design and evaluate models to mathematically express and solve defined problems with limited precedent.
  • 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 Recommendation Systems.
  • Help maintain models and improve them as needed to incorporate cutting-edge research within a highly scalable infrastructure.
  • 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.

Requirements

  • MS/PhD in a relevant technical field (preferably Computer Science, Machine Learning, Operations Research, Applied Mathematics, Statistics, Engineering, etc.) with 1+ years of relevant work experience.
  • Deep background in NLP, Machine Learning, Deep Learning, Optimization, Algorithm, and Software Development.
  • Bonus: Prior knowledge of Search/Recommendation Systems and Generative AI.
  • Sound knowledge of Python, SQL, PySpark, Machine Learning Libraries, and Big Data processing systems in a cloud environment.
  • Experience publishing in peer-reviewed conferences and journals., 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 2 years’ experience in an analytics or related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 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.

Benefits & conditions

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.themuse.com
Prepare application

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