below marketmost similar roles pay hereabove market
This role pays more than
85%
of similar roles. Most pay
$149,355–$214,500
— the blue band above.
At the midpoint, this role pays about
$234k
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
990 open roles
on FindRole.
Listed pay typically runs
$117,000–$220,000
across 539 roles with salary data.
As a (USA) Distinguished, Data Scientist, you will join the Customer Engagement Services Technology team to develop and deploy advanced analytical models and machine learning solutions. You will analyze complex business problems to deliver actionable insights, design scalable data solutions, and create compelling data visualizations for stakeholders. Your daily work involves developing predictive models, ensuring data quality and governance, and leading model validation and monitoring. You will utilize Python, SQL, R, Spark, and Scala, while leveraging open source frameworks like scikit-learn, tensorflow, and torch. This role focuses on innovative Generative AI applications within complex enterprise environments. You will translate business requirements into technical strategies, mentor team members on analytical best practices, and solve multifaceted problems to drive operational efficiency and measurable business value.
What does a Data Scientist earn in Washington?
Median $206800 from 32 postings across 14 companies.
Analyze complex business problems using advanced data analytics and machine learning techniques.
Develop and implement predictive models and data-driven strategies to optimize business outcomes.
Design and deploy scalable data solutions while ensuring data quality and governance.
Create compelling data visualizations and narratives to communicate findings to stakeholders.
Lead model validation, testing, and monitoring to ensure accuracy and sustainability.
Translate business requirements into technical strategies and measurable deliverables.
Mentor team members on analytical best practices and emerging technologies.
What we're looking for
Obtain a Bachelor’s degree in a related field with 6 years of analytics experience, a Master’s degree with 4 years, or 8 years of experience.
Possess extensive experience in data analysis, machine learning, and predictive analytics to develop innovative solutions.
Demonstrate proficiency in coding languages including Python, SQL, and R for data manipulation and model development.
Exhibit expertise in analytical modeling, including model assessment, validation, deployment, and scaling.
Show proficiency in advanced data visualization techniques to communicate complex insights effectively.
Demonstrate the ability to mentor team members and collaborate cross-functionally to drive business outcomes.
Possess a PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, or Econometrics (preferred).
Have successful completion of assessments in Python, Spark, Scala, or R, and experience with open source frameworks like scikit-learn, tensorflow, or torch (preferred).
Python
SQL
Machine Learning
Statistics
A/B Testing
scikit learn
TensorFlow
Spark
Scala
R
Data Visualization
Exploratory Data Analysis
Root Cause Analysis
WCAG) 2.2 AA
Machine Learning
Gen AI
Python
Spark
Scala
R
TensorFlow
scikit learn
MLOps
Computer Vision
Big Data Analytics
Foundation Models
Optimization Models
WCAG) 2.2 AA
Machine Learning
Gen AI
Python
Spark
Scala
R
TensorFlow
scikit learn
MLOps
Computer Vision
Big Data Analytics
Foundation Models
Optimization Models
WCAG) 2.2 AA