below marketmost similar roles pay hereabove market
This role pays more than
86%
of similar roles. Most pay
$162,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$188k
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
825 open roles
on FindRole.
Listed pay typically runs
$121,000–$242,000
across 473 roles with salary data.
The (USA) Staff, Data Scientist joins the Applied Science team for Last Mile Delivery to optimize routing, trip pricing, driver matching, delivery commitments, and capacity management. This role involves identifying and sourcing data from multiple business domains, ensuring data quality, and developing data strategies to unlock value. The successful candidate will design, build, and validate predictive models using advanced statistical and machine learning techniques, while creating impactful visualizations to communicate insights. Day-to-day responsibilities include writing, testing, and maintaining code, as well as deploying and monitoring models in production. Required skills include proficiency in Python, SQL, and NoSQL, along with experience in data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI. The role focuses on solving operational efficiency problems within the last mile delivery ecosystem.
What does a Data Scientist earn in California?
Median $214500 from 114 postings across 26 companies.
Identify and source relevant data from multiple business domains while ensuring data quality.
Design, build, and validate predictive models using advanced statistical and machine learning techniques.
Develop and implement data strategies that align with specific business objectives.
Deploy and monitor models in production to ensure scalability and performance.
Create impactful data visualizations to communicate complex insights to stakeholders.
Write, test, and maintain code to support analytics solutions and model development.
Translate complex business problems into actionable, data-driven solutions.
What we're looking for
Obtain a Bachelor's degree in a related field with 4 years of analytics experience, a Master's degree with 2 years of experience, or 6 years of experience.
Demonstrate proven expertise in predictive analytics, machine learning algorithms, and data science methodologies.
Possess proficiency in Python programming and advanced data visualization tools like Matplotlib, Plotly, Tableau, or PowerBI.
Show strong knowledge of data strategy, including quality standards, governance, and scalable storage solutions.
Experience in model assessment, validation, and deployment using statistical and machine learning techniques.
Demonstrate the ability to translate complex business problems into data-driven solutions with clear communication to stakeholders.
Maintain familiarity with database technologies including SQL and NoSQL for data extraction and quality checks.
Demonstrate the capability to mentor team members and guide advanced analytical modeling efforts.
Possess a PhD in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Successfully complete one or more assessments in Python, Spark, Scala, or R (preferred).
Experience using open source frameworks such as scikit-learn, tensorflow, or torch (preferred).
Knowledge of creating inclusive digital experiences and implementing WCAG 2.2 AA standards (preferred).
Python
Machine Learning
Spark
Scala
R
TensorFlow
scikit learn
Tableau
Matplotlib
Plotly
Big Data
Data Visualization
Predictive Analytics
Data Governance
Cloud-native Architecture
Statistics