below marketmost similar roles pay hereabove market
This role pays more than
73%
of similar roles. Most pay
$162,000–$217,950
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$190k
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
724 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 593 roles with salary data.
JOB TITLE: Staff, Data Scientist
As a Staff, Data Scientist, you will join a team dedicated to solving complex e-commerce problems by mining billions of search queries and tens of millions of products to improve relevance. You will take end-to-end responsibility for analyzing large datasets, creating complex models, and deploying them to serve customers across various modalities like voice, text, and image. Your daily work involves building, validating, and testing predictive models to solve business and engineering problems. You will utilize skills in natural language processing, computer vision, information retrieval, and recommendation systems. The role requires proficiency in Python, Java, or Scala, along with experience in Spark, Hadoop, and deep learning libraries like TensorFlow or PyTorch to automate machine learning pipelines and improve customer purchase decisions.
What does a Data Scientist earn in California?
Median $214500 from 136 postings across 32 companies.
Apply machine learning algorithms to maximize search system relevance and minimize risks.
Build, validate, test, and deploy predictive models to solve business and engineering problems.
Identify, collect, and explore data for predictive modeling and algorithm development.
Lead developments in NLP, computer vision, information retrieval, and recommendation systems.
Write reusable and efficient code to automate machine learning pipelines and data processes.
Perform data cleaning, preparation, featurization, and selection techniques on large datasets.
What we're looking for
Must have a Bachelor's degree in a related field and 4 years of analytics experience, a Master's degree and 2 years of experience, or 6 years of experience.
Must have at least 5 years of work and research experience in the machine learning field.
Must have experience with data cleaning, preparation, featurization, and selection techniques.
Must have experience working with large data sets to solve problems.
Must have hands-on experience with Python, Java, or Scala to write reusable and efficient code.
Must have effective communication, interpersonal, and teamwork skills.
Experience with deep learning libraries like TensorFlow and/or PyTorch is highly desirable (preferred).
Experience with Spark and/or Hadoop is highly desirable (preferred).
Generative AI
Large Language Models
LLMs
MLOps
Python
Spark
Scala
R
TensorFlow
scikit learn
transformer models
vector search
Embeddings
Information Retrieval
Recommendation Systems
causal inference
distributed model deployment
semantic search
Optimization Models
Machine Learning
Deep Learning
Generative AI
LLMs
Python
Java
TensorFlow
PyTorch
AWS
GCP
Azure
Spark
scikit learn
R
Scala
Big Data Analytics
Information Retrieval
Multi-agent workflows
Logistic Regression
Random Forest
Gradient Boosting
Support Vector Machine