below marketmost similar roles pay hereabove market
This role pays less than
51%
of similar roles. Most pay
$160,102–$214,500
— the blue band above.
At the midpoint, this role pays about
$165k
versus about
$187k
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 Marketplace Payments & Financial Services team to develop advanced models and AI/ML capabilities. This role involves leading end-to-end model development, validation, and deployment while building, coaching, and developing a high-performing team of data scientists. You will define the technical vision and roadmap for reusable modeling frameworks, build scalable data assets, and perform feature engineering and model monitoring. The position requires expertise in Python, SQL, enterprise data architecture, and predictive analytics to solve complex problems within a global Marketplace Payments platform. You will translate business challenges into data-driven strategies to improve decision-making, automation, and customer experience. Key technical skills include experience with Spark, Scala, R, and open source frameworks like scikit-learn, tensorflow, and torch.
What does a Data Scientist earn in California?
Median $214500 from 134 postings across 32 companies.
Lead the development of scalable AI and data science solutions for a global Marketplace Payments platform.
Define the technical vision, roadmap, and reusable modeling frameworks for Payments & Financial Services.
Partner with cross-functional leaders to deliver data-driven solutions that shape product strategy.
Champion the adoption of emerging AI capabilities to improve automation and customer experience.
Build scalable data assets, feature engineering, and model monitoring capabilities.
Lead, coach, and develop a high-performing team of data scientists.
Provide technical thought leadership and drive continuous innovation across the organization.
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 proven expertise in machine learning, predictive analytics, advanced statistical modeling, and AI.
Must have strong people leadership experience building, coaching, and developing high-performing data science teams.
Must have expertise in Python, SQL, enterprise data architecture, and scalable AI/ML solutions.
Must have the ability to influence senior leaders and translate complex business challenges into data-driven strategies.
Must have experience building globally scalable analytical capabilities and championing emerging AI technologies.
Must have demonstrated technical leadership in defining data science strategy and establishing best practices across the model lifecycle (preferred).
Must have a PhD in a related field or successful completion of assessments in Python, Spark, Scala, or R (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