As a Senior Manager of Data Science on the Customer Engagement Services team, you will serve as the Technical Lead for an ambitious initiative to revolutionize omni-channel returns using AI. Your role involves architecting autonomous AI systems that fuse causal inference, deep learning, and large language models to analyze structured transaction data alongside unstructured customer feedback. You will lead the transition from insight to action by applying causal AI to understand return behaviors and drive engineering excellence by mentoring a team of Data Scientists in developing scalable and deployable production packages using Python and PySpark. Additionally, you will pioneer ML observability frameworks to monitor real-time model performance and ensure dynamic adaptation to changing consumer trends. This role demands expertise in advanced modeling techniques, NLP, and distributed computing with PySpark, as well as a strong background in software engineering rigor and MLOps practices.
Skills
Python
PySpark
SQL
Git
pytest
Causal Inference
Deep Learning
Large Language Models (LLMs)
NLP
MLOps
Docker
Kubernetes
GCP
AWS
What you'll do
Architect end-to-end algorithmic framework for proactive returns intelligence using Causal Inference and Deep Learning.
Lead transition from insight to action by applying Causal AI to understand root causes of return behaviors.
Drive engineering excellence by mentoring Data Scientists and enforcing rigorous code review standards.
Pioneer ML observability frameworks to track real-time model performance and adapt to changing trends.
Translate ambiguous business objectives into concrete, executable AI roadmaps for strategic alignment.
What we're looking for
Deep expertise in time-series forecasting, anomaly detection, and modern predictive modeling.
Proven ability to apply causal inference frameworks to observational data for isolating friction points.
Experience with Natural Language Processing and LLMs to extract actionable features from unstructured data.
Expert-level fluency in Python and SQL, with strong hands-on experience using PySpark for big data architecture.
Extensive experience in unit/integration testing and advanced Git management practices.
Strategic technical leadership in translating business objectives into executable AI roadmaps.
Market check
Salary context
This
$110,000–$220,000
range sits above
32%
of similar postings on FindRole.
Peer median band
$148,300–$257,000
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$165,000–$245,000
Middle half of comparable postings.
Based on 239 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
495 open roles
on FindRole.
Listed pay typically runs
$117,000–$234,000
across 487 roles with salary data.