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Principal Data Scientist- W2 | Remote

Blue Space Technologies

Remote • Today

Easy Apply

Contract

$70 - $75

Principal Data Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Principal Data Scientist - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Senior Principal Data Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 134,600.00 - 230,800.00 per year

Staff Data Scientist - Quora (Remote)

Quora

Remote or Canada, Kentucky • Today

Full-time

USD 163,560.00 - 240,092.00 per year

Principal Data Scientist

Microsoft Corporation

No location provided • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal Data Scientist

ADT LLC

Irving, Texas • Today

Full-time

Data Scientist Principal

SAIC

Chantilly, Virginia • Today

Full-time

USD 160,001.00 - 200,000.00 per year

Principal Data Scientist

Markon

Annapolis, Maryland • Today

Full-time

USD 150,000.00 - 210,000.00 per year

Principal Data Scientist - FDE

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal Data Scientist - Oncology

Johnson & Johnson

Pennsylvania • Today

Full-time

USD 117,000.00 - 201,250.00 per year

Principal Data Scientist

UnitedHealth Group

Eden Prairie, Minnesota • Today

Full-time

Principal Data Scientist - Immunology - (2 positions)

Johnson & Johnson

Hopewell Township, New Jersey • Today

Full-time

USD 117,000.00 - 201,250.00 per year

Principal Data Scientist

CVS Health

Remote or Chicago, Illinois • Today

Full-time

USD 144,200.00 - 288,400.00 per year

Principal Data Scientist - CX Analytics

Unum Group

Portland, Oregon • 30+d ago

Full-time

USD 109,100.00 - 224,000.00 per year

Principal Data Scientist - CX Analytics

Unum

Portland, Maine • Today

Full-time

USD 109,100.00 - 224,000.00 per year

Principal Data Scientist, Digital Product Owner

Boston Scientific Corporation

Arden Hills, Minnesota • Today

Full-time

USD 102,100.00 - 194,000.00 per year

Principal Data Scientist

Microsoft Corporation

Mountain View, California • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal Data Scientist

Atlassian Inc.

Remote or San Francisco, California • Today

Full-time

USD 206,100.00 - 269,075.00 per year

Principal Data Scientist

NextEra Energy

Palm Beach Gardens, Florida • Today

Full-time

Data Scientist Principal

General Dynamics

Remote • Today

Full-time

USD 122,400.00 - 165,600.00 per year

Principal Data Scientist

Motorola Solutions

Remote or Illinois • Today

Full-time

USD 139,818.00 - 178,600.00 per year

Principal D&T Data Scientist

General Mills

Remote or Minneapolis, Minnesota • Today

Full-time

USD 149,500.00 - 249,300.00 per year

Principal Data Scientist

SEDGWICK CLAIMS MGMT SERVICES, INC.

Tennessee • Today

Full-time

Principal Data Scientist, SIP

Invesco

Atlanta, Georgia • 3d ago

Full-time

Principal Data Scientist

Microsoft Corporation

Redmond, Washington • Today

Full-time

USD 142,800.00 - 274,800.00 per year

Principal Geospatial Data Scientist

The MITRE Corporation

McLean, Virginia • Today

Full-time

USD 171,000.00 - 213,500.00 per year

Principal Data Scientist

Flagship Pioneering, Inc.

Cambridge, Massachusetts • Today

Full-time

USD 179,000.00 - 236,500.00 per year

Principal Data Scientist

Blink Health

New York, New York • Today

Full-time

Principal Data Engineering - Remote

UnitedHealth Group

Remote or Minnetonka, Minnesota • Today

Full-time

USD 112,700.00 - 193,200.00 per year

Job Details

Skills

Artificial Intelligence
Data Science
Deep Learning
Generative Artificial Intelligence (AI)

Summary

Job Title: Principal Data Scientist Work Arrangement: Remote for the first 6 months, then onsite in Raleigh, NC
Client: LexisNexis

Position Overview

We are seeking a highly experienced Principal Data Scientist to lead the design, development, and deployment of advanced AI/ML and LLM-based systems. The ideal candidate will have strong experience in Data Science, Machine Learning Engineering, Generative AI, and production-grade LLM applications.

The candidate should be capable of working at both the research/architecture level and hands-on implementation level, translating advanced AI techniques into scalable enterprise solutions.

Required Qualifications

Master's degree or PhD preferred.
10 12+ years of experience in Data Science / Machine Learning Engineering.
Deep hands-on experience with LLM-based systems and Generative AI.
Strong experience designing and implementing production-grade AI/ML solutions.
Experience with deep learning, NLP, transformers, and model fine-tuning.
Strong Python programming and ML engineering experience.
Experience building and deploying scalable ML/AI systems.

Key Technical Skills

Generative AI / LLM

Large Language Models (LLMs)
Generative AI
LLM application development
Prompt engineering
Model evaluation
Hallucination detection and mitigation
LLM observability and monitoring

RAG & Retrieval

Retrieval-Augmented Generation (RAG)
Embeddings
Vector databases
Semantic search
Hybrid retrieval
Reranking
Chunking strategies
Metadata filtering
Retrieval optimization

Machine Learning / Deep Learning

PyTorch
HuggingFace
Transformers
NLP
Deep learning
Model fine-tuning
Classification
Information extraction
Summarization
Question answering

AI Agent Architecture

Multi-agent architectures
Planner-executor patterns
Tool-use agents
ReAct-style reasoning
Agent orchestration
Tool calling
Workflow routing
Memory and guardrails

Frameworks & Platforms

LangChain
LlamaIndex
Kubernetes
Containerized model serving
Production ML APIs
Monitoring and observability
Cloud/production deployment

Data & Vector Technologies

Experience with technologies such as:

Pinecone
Weaviate
FAISS
Chroma
pgvector
Embedding indexes
Vector retrieval infrastructure

Responsibilities

Lead the architecture and development of enterprise-scale AI/ML and LLM solutions.
Design and implement production-grade RAG pipelines.
Develop and optimize multi-agent AI architectures.
Build LLM applications using frameworks such as LangChain and LlamaIndex.
Fine-tune and evaluate transformer-based models.
Develop evaluation frameworks for model quality, retrieval accuracy, groundedness, latency, cost, and reliability.
Establish methods for detecting hallucinations and other LLM failure modes.
Design scalable ML serving and deployment architectures.
Work with Kubernetes and containerized inference environments.
Implement monitoring, observability, alerting, and model-performance tracking.
Collaborate with Data Scientists, ML Engineers, Product teams, and other technical stakeholders.
Provide technical leadership, architecture guidance, mentoring, and code reviews.
Translate business requirements into scalable AI/ML solutions.
Drive AI strategy, technical roadmaps, experimentation, and continuous improvement.

Preferred Experience

Experience leading principal-level AI/ML architecture.
Experience deploying LLM systems into production at enterprise scale.
Experience with large-scale data and knowledge-retrieval systems.
Experience creating measurable AI evaluation frameworks.
Experience with model monitoring, observability, and production reliability.
Strong communication and stakeholder-management skills.
Experience mentoring Data Scientists and ML Engineers.

Work Arrangement

First 6 months: Remote
After 6 months: Onsite in Raleigh, NC
Candidates must be willing to relocate to Raleigh, NC after the initial remote period.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10235975
Position Id: 9092793
Posted 5 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Alexander Noah

Recruiter @ Blue Space Technologies

View Profile

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Job Details

Skills

Artificial Intelligence
Data Science
Deep Learning
Generative Artificial Intelligence (AI)

Summary

Job Title: Principal Data Scientist Work Arrangement: Remote for the first 6 months, then onsite in Raleigh, NC
Client: LexisNexis

Position Overview

The candidate should be capable of working at both the research/architecture level and hands-on implementation level, translating advanced AI techniques into scalable enterprise solutions.

Required Qualifications

Master's degree or PhD preferred.
10 12+ years of experience in Data Science / Machine Learning Engineering.
Deep hands-on experience with LLM-based systems and Generative AI.
Strong experience designing and implementing production-grade AI/ML solutions.
Experience with deep learning, NLP, transformers, and model fine-tuning.
Strong Python programming and ML engineering experience.
Experience building and deploying scalable ML/AI systems.

Key Technical Skills

Generative AI / LLM

Large Language Models (LLMs)
Generative AI
LLM application development
Prompt engineering
Model evaluation
Hallucination detection and mitigation
LLM observability and monitoring

RAG & Retrieval

Retrieval-Augmented Generation (RAG)
Embeddings
Vector databases
Semantic search
Hybrid retrieval
Reranking
Chunking strategies
Metadata filtering
Retrieval optimization

Machine Learning / Deep Learning

PyTorch
HuggingFace
Transformers
NLP
Deep learning
Model fine-tuning
Classification
Information extraction
Summarization
Question answering

AI Agent Architecture

Multi-agent architectures
Planner-executor patterns
Tool-use agents
ReAct-style reasoning
Agent orchestration
Tool calling
Workflow routing
Memory and guardrails

Frameworks & Platforms

LangChain
LlamaIndex
Kubernetes
Containerized model serving
Production ML APIs
Monitoring and observability
Cloud/production deployment

Data & Vector Technologies

Experience with technologies such as:

Pinecone
Weaviate
FAISS
Chroma
pgvector
Embedding indexes
Vector retrieval infrastructure

Responsibilities

Lead the architecture and development of enterprise-scale AI/ML and LLM solutions.
Design and implement production-grade RAG pipelines.
Develop and optimize multi-agent AI architectures.
Build LLM applications using frameworks such as LangChain and LlamaIndex.
Fine-tune and evaluate transformer-based models.
Develop evaluation frameworks for model quality, retrieval accuracy, groundedness, latency, cost, and reliability.
Establish methods for detecting hallucinations and other LLM failure modes.
Design scalable ML serving and deployment architectures.
Work with Kubernetes and containerized inference environments.
Implement monitoring, observability, alerting, and model-performance tracking.
Collaborate with Data Scientists, ML Engineers, Product teams, and other technical stakeholders.
Provide technical leadership, architecture guidance, mentoring, and code reviews.
Translate business requirements into scalable AI/ML solutions.
Drive AI strategy, technical roadmaps, experimentation, and continuous improvement.

Preferred Experience

Experience leading principal-level AI/ML architecture.
Experience deploying LLM systems into production at enterprise scale.
Experience with large-scale data and knowledge-retrieval systems.
Experience creating measurable AI evaluation frameworks.
Experience with model monitoring, observability, and production reliability.
Strong communication and stakeholder-management skills.
Experience mentoring Data Scientists and ML Engineers.

Work Arrangement

First 6 months: Remote
After 6 months: Onsite in Raleigh, NC
Candidates must be willing to relocate to Raleigh, NC after the initial remote period.

Dice Id: 10235975
Position Id: 9092793
Posted 5 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Contact the job poster

Alexander Noah

Recruiter @ Blue Space Technologies

View Profile

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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