This role pays more than
86%
of similar roles. Most pay
$126,800–$188,875
— the shaded band above.
At the midpoint, this role pays about
$214k
versus about
$158k
for comparable roles.
Based on 240 similar postings.
Employer
About Walmart
Walmart Inc. is the world''s largest retailer by revenue, operating a chain of hypermarkets, discount department stores, and grocery stores, as well as a growing e-commerce presence through Walmart.com. Industry: General Merchandise & Grocery Retail
Walmart currently has
189 open roles
on FindRole.
Listed pay typically runs
$110,000–$220,000
across 181 roles with salary data.
Join our dynamic team of data scientists and engineers at the forefront of e-commerce innovation, where you will tackle complex challenges in machine learning, information retrieval, NLP, and computer vision. As a senior member, you will develop and deploy predictive models to enhance search relevance and customer engagement across various devices and modalities. Your daily tasks include applying advanced algorithms, validating models, and working with large datasets to solve real-world problems. Proficiency in Python, Java, or Scala, along with experience using TensorFlow, PyTorch, Spark, and Hadoop, is essential. A Ph.D. or Master’s degree in a relevant field and at least five years of industry experience are required. This role offers the opportunity to make a significant impact on millions of customers and drive business goals through cutting-edge technology solutions.
Apply machine learning algorithms to maximize search system relevance and minimize risks.
Build, validate, test, and deploy predictive models using machine learning techniques for various business problems.
Identify, collect, and explore data necessary for predictive modeling and algorithm development.
Develop and lead projects in areas like natural language processing, computer vision, and recommendation systems.
Automate machine learning pipelines and data processes to enhance efficiency and scalability.
What we're looking for
At least 5 years of experience in machine learning with a deep understanding and application at scale.
Experience with data cleaning, preparation, feature selection, and working with large datasets.
Proficiency in Python, Java, or Scala for automating ML pipelines and processes.
Hands-on experience with TensorFlow and/or PyTorch; familiarity with Spark and Hadoop is desirable.
Strong communication skills and the ability to work independently and in teams on multiple projects.
Ph.D. or Master’s degree in Computer Science, Statistics, AI, Operations Research, Mathematics, Electrical Engineering, Computational Linguistics, or related fields.