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 AI team to develop advanced Search and Personalization solutions aimed at improving product discovery and the shopping experience. This role involves identifying and sourcing high-quality data from multiple business domains to build and validate predictive models using advanced machine learning and statistical techniques. You will design scalable data strategies, perform exploratory data analysis, and conduct feature engineering to solve complex business problems. Key responsibilities include creating data visualizations, mentoring junior team members, and deploying models for continuous monitoring. Required technical skills include Python programming, Spark, Scala, or R, along with proficiency in tools like Matplotlib, Plotly, Tableau, or PowerBI. You will also utilize open source frameworks such as scikit-learn, tensorflow, and torch to deliver impactful results.
What does a Data Scientist earn in California?
Median $214500 from 114 postings across 26 companies.
Identify and source high-quality data from multiple business domains for analysis.
Design, build, and validate predictive models using advanced machine learning and statistical techniques.
Develop and implement scalable data strategies focusing on management, governance, and quality.
Create clear data visualizations and reports to communicate findings to stakeholders.
Translate complex business requirements into actionable analytical solutions and data-driven strategies.
Mentor junior team members on modeling techniques, data interpretation, and industry best practices.
Deploy and continuously monitor models using appropriate evaluation metrics to ensure performance.
What we're looking for
Option 1: Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 4 years of experience in an analytics related field.
Option 2: Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, IT, or related field and 2 years of experience in an analytics related field.
Option 3: 6 years of experience in an analytics or related field.
Proven expertise in predictive analytics, machine learning algorithms, and advanced statistical modeling techniques.
Proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, Tableau, or PowerBI.
Strong understanding of data strategy, including data quality, governance, and scalable data storage solutions.
Experience in model assessment, validation, deployment, and continuous monitoring using appropriate evaluation metrics.
Skilled in exploratory data analysis, feature engineering, and applying AI and deep learning methods.
Knowledge of creating inclusive digital experiences and implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards (preferred).
Successful completion of one or more assessments in Python, Spark, Scala, or R (preferred).
PhD in Machine Learning, Computer Science, IT, Operations Research, Statistics, Applied Mathematics, or Econometrics (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