below marketmost similar roles pay hereabove market
This role pays more than
56%
of similar roles. Most pay
$165,000–$214,500
— the blue band above.
At the midpoint, this role pays about
$198k
versus about
$190k
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.
As a (USA) Principal, Data Scientist, you will join the Inventory Decision Intelligence team within Applied AI to lead advanced analytics initiatives. You will develop, test, and deploy optimization and machine learning models to enhance inventory management across the network, specifically focusing on how inventory is ordered, positioned, and transferred. Your daily work involves analyzing complex business problems, identifying data sources, and designing scalable algorithms to improve availability while reducing operating costs. You will utilize Python, Spark, Scala, R, and open-source frameworks like scikit-learn, TensorFlow, and Torch. Additionally, you will leverage cloud platforms such as AWS SageMaker or GCP. The role requires expertise in statistical analysis, deep learning, and model lifecycle management to solve inventory management problems through agentic AI and mathematical optimization.
What does a Data Scientist earn in Washington?
Median $198000 from 42 postings across 15 companies.
Develop, test, and deploy advanced data science solutions using appropriate programming languages and tools.
Analyze complex business problems to identify root causes and recommend data-driven approaches.
Identify and validate suitable data sources to ensure data quality and relevance for modeling.
Design and implement optimization algorithms or machine learning models for accuracy and scalability.
Evaluate model performance using rigorous validation techniques and adjust models accordingly.
Translate business requirements into actionable data strategies and measurable business impacts.
Mentor team members on analytical methods, modeling techniques, and best practices.
What we're looking for
Obtain a Bachelor's degree in a related field with 5 years of analytics experience, a Master's degree with 3 years of experience, or 7 years of experience.
Extensive experience in developing and deploying machine learning models using Python and related tools.
Proficiency in statistical analysis, hypothesis testing, and advanced modeling techniques including deep learning and optimization methods.
Expertise in optimization or machine learning as well as model validation, deployment, and lifecycle management for scalable production environments.
Strong knowledge of data sourcing, quality assessment, and data ecosystem management.
Demonstrated leadership in mentoring teams and driving cross-functional collaboration.
Familiarity with cloud platforms such as AWS SageMaker or GCP for model development and deployment (preferred).
PhD in a related field, publications, or successful completion of assessments in Python, Spark, Scala, or R (preferred).
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
Python
SQL
Machine Learning
Time Series Analysis
TensorFlow
PyTorch
Scikit-learn
AWS
GCP
Azure
Docker
Spark
Scala
R
MLOps
Deep Learning
Probabilistic Modeling
Regression
Data Governance