below marketmost similar roles pay hereabove market
This role pays more than
88%
of similar roles. Most pay
$149,356–$214,500
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$182k
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
719 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 592 roles with salary data.
The (USA) Staff, Data Scientist joins the personalization marketing data science team to develop scalable, data-driven solutions for digital marketing channels including SEM, SEO, CRM, and Display. This role involves identifying relevant data, building and validating predictive models, and creating visualizations to communicate insights. You will mine massive data to derive business insights, design statistically sound experiments, and build highly available systems following operational best practices. Key responsibilities include mentoring junior team members and translating complex business problems into data-driven solutions. Required skills include proficiency in Python, machine learning algorithms, statistical hypothesis testing, and data engineering. You will utilize tools such as Matplotlib, Plotly, or Tableau, and open-source frameworks like scikit-learn, tensorflow, or torch to optimize marketing effectiveness and generate high-quality demand.
What does a Data Scientist earn in California?
Median $214500 from 134 postings across 32 companies.
Build, validate, test, and deploy predictive models using machine learning techniques to predict customer behaviors.
Design statistically sound experiments to evaluate the effectiveness of marketing science projects.
Mine massive datasets to derive business insights and propose high-impact modeling projects.
Standardize and build scalable, highly available systems following operational best practices.
Develop visuals and reports to communicate model results and insights to business teams.
Translate complex business challenges into data-driven solutions across digital marketing channels.
Mentor junior team members on data science methodologies and best practices.
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 statistical hypothesis testing.
Possess proficiency in Python programming and data visualization tools such as Matplotlib, Plotly, or Tableau.
Show strong knowledge of data engineering, data pipelines, and MLOps for scalable model deployment.
Experience in data source identification, data quality assessment, and data strategy implementation.
Ability to develop, validate, and tune advanced analytical models using appropriate evaluation metrics.
Skill in translating complex business problems into data-driven solutions with clear communication.
Familiarity with experimentation design, statistical inference, and automation techniques in data science.
Python
Machine Learning
Spark
Scala
R
TensorFlow
scikit learn
Tableau
Matplotlib
Plotly
Big Data
Data Visualization
Predictive Analytics
Data Governance
Cloud-native Architecture
Statistics