Distinguished, Data Scientist
Remote / Online - Candidates ideally in
Bellevue, King County, Washington, 98009, USA
Listed on 2026-07-21
Bellevue, King County, Washington, 98009, USA
Listing for:
TryApplyNow
Full Time, Remote/Work from Home
position Listed on 2026-07-21
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
# (USA) Distinguished, Data Scientist Walmart, an Early Applicant Full Time principal Bellevue, Washington, USPosted Today##
Role Overview Walmart, Inc. is hiring a principal-level (USA) Distinguished, Data Scientist. This is a full-time role in Bellevue, Washington. Part of Walmart, Inc.'s Data Science hiring, posted today. applications are still in the early window, before most candidates have applied. Full responsibilities, required qualifications, and the apply link are listed in the description below.## Salary Context Salary is not disclosed in this posting.
Market median for Principal-level Data Science roles is $179k-$241k (based on 25 comparable listings). Many employers share specifics during the interview process or after an initial screen.## Resume Keywords to Include Make sure these keywords appear in your resume to improve ATS scoring
Python
ScalaRAWSGCPDocker Big Query Spark Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score## Job description
Position Summary...What you'll do...We are seeking a Distinguished Data Scientist to provide technical leadership and long-term vision for next-generation AI systems and platforms. This senior individual contributor will drive breakthrough system design and advanced solution development that transforms Walmart role combines deep technical expertise (ML, simulation, optimization, agentic AI) with cross-functional influence, mentoring of senior talent, and delivery of high-impact, productionized solutions.
You will be a great fit if:
- You architect end-to-end ML/AI systems - from feature engineering through production deployment and monitoring
- You've built and shipped multiple autonomous AI agents (not just experimented with LLM APIs) - You're Level 5+ on Steve Yegge's Vibe Coding scale and can ship production systems through AI-assisted development
- You combine deep statistical rigor with practical business impact### About the Team The Colony Platform team applies advanced data science, machine learning, and agentic AI to solve high-impact business problems across Walmart globally. You'll build production Agentic systems, deploy autonomous AI agents, and translate complex data into actionable insights that drive measurable business value at massive scale.
Our team builds intelligent platforms, agents and ML-powered solutions that make associates' jobs easier, faster, and more fulfilling across stores, fulfillment centers, distribution centers, and home office. We leverage the Element LLM Gateway to safely access state-of-the-art language models while keeping all data within Walmart's network. Our work spans NLP, computer vision, time series forecasting, and multi-agent AI systems at enterprise scale.
What You'll Do
* Build and deploy production ML systems end-to-end: data pipelines, feature stores, model training, serving layers, monitoring, and feedback loops at scale
* Provide technical visionand lead advanced development in agentic AI, reinforcement learning, and simulation.
* Architect and deploy large-scale AI systems and autonomous AI agents - conversational assistants, predictive agents with tool-calling, and multi-agent orchestration systems using Lang Chain, Pydantic AI, and RAG patterns
* Design agentic evaluation frameworks that benchmark agent performance across task completion, code quality, and multi-step reasoning accuracy
* Deploy NLP pipelines at enterprise scale - semantic similarity across millions of records using BERT/SBERT embeddings and vector search (FAISS)
* Lead high-impact projects end-to-end; problem framing, modeling, prototyping, production architecture, and rollout.
* Author and review technical designs and standards; present findings to senior leadership.
* Mentor senior scientists and engineers on advanced modeling techniques, feature engineering, and experimentation design - raising the technical bar across teams.
* Establish best practices for model validations, experiemention, and safe deployment of AI systems.
* Influence roadmap prioritization and long-term strategy for AI and simulation capabilities.
* Present insights to senior leadership with compelling data…
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