Senior Data Scientist

18 hours ago


Silver Lake, Kansas, United States Walmart Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our team at Walmart Global Tech. As a key member of our Search Algorithm Team, you will play a critical role in developing and deploying machine learning models to optimize product search and improve customer experience.

Key Responsibilities
  • Design and implement machine learning algorithms to maximize search relevance and minimize risks.
  • Build, validate, and deploy predictive models using machine learning techniques to explain or predict customer behavior and solve business problems.
  • Collaborate with cross-functional teams to identify and explore data used for predictive modeling and algorithm development.
  • Develop and deploy machine learning models using deep learning libraries like TensorFlow and PyTorch.
Requirements
  • Ph.D. in Computer Science, Statistics, Artificial Intelligence, Operations Research, Mathematics, or related fields.
  • 3+ years of work and research experience in machine learning with a deep understanding of machine learning concepts and techniques.
  • Experience with data cleaning, preparation, and featurization techniques.
  • Experience working with large datasets to solve complex problems.
  • Proficiency in Python, Java, or Scala and ability to write efficient code to automate machine learning pipelines and data processes.
About Walmart Global Tech

Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. At Walmart Global Tech, we're a team of software engineers, data scientists, cybersecurity experts, and service professionals who make an epic impact and are at the forefront of the next retail disruption. We're people-led and tech-empowered, and we're committed to innovation and excellence.

What We Offer
  • Competitive pay and performance-based bonus awards.
  • 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and more.
  • Flexible, hybrid work environment with opportunities for professional growth and development.


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