below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$126,800–$192,500.
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.
As a Senior, Data Scientist on the fraud detection team, you will leverage advanced analytical techniques to identify and mitigate fraud and abuse risks across online and offline commerce. You will design, build, and implement robust, scalable predictive models and analytics solutions using deep learning, machine learning, data mining, and anomaly detection techniques. Your daily work involves processing high-dimensional, fast-moving real-time datasets to develop tools for bot detection and other fraud issues. You will use Python, Java, or JavaScript on UNIX or Linux platforms, utilizing distributed computing tools like GCP and BigQuery. Key responsibilities include building interactive dashboards, providing data-driven storytelling, and collaborating with cross-functional teams to translate complex business challenges into innovative data strategies while ensuring alignment with data governance and quality standards.
What does a Data Scientist earn in California?
Median $214500 from 114 postings across 26 companies.
Design, build, and implement predictive models using high-dimensional, real-time datasets.
Use deep learning, machine learning, and data mining to develop robust anomaly detection models.
Own fraud and abuse risks for specific products or segments of the business.
Build data visualizations and interactive dashboards to share business insights internally and externally.
Translate complex business challenges into innovative data strategies and actionable recommendations.
Research and develop new tools or automate processes to address emerging fraud issues.
Ensure all data solutions align with established data governance and quality standards.
What we're looking for
Must have a Bachelor’s degree in a related field and 3 years of analytics experience, a Master’s degree and 1 year of experience, or 5 years of experience.
Must possess technical expertise in machine learning, statistical analysis, and data storytelling.
Must be proficient in machine learning and data mining packages in Python.
Must have experience working with large data sets and distributed computing tools.
Must have programming skills in Java or JavaScript on a UNIX or Linux platform.
Machine Learning
Generative AI
Deep Learning
Reinforcement Learning
Computer Vision
Python
Spark
Scala
R
TensorFlow
scikit learn
Statistics
Recommendation Systems
Conversational Agents
WCAG) 2.2 AA
GenAI
LLMs
Python
Machine Learning
Deep Learning
Spark
Hive
GCP
Azure
CI/CD
TensorFlow
scikit learn
Distributed Systems
ML Pipelines
Natural Language Processing
Scala
R