Principal Data Scientist

Base pay range

$/yr - $/yr

LHH is partnering with a Seattle client to help them find a Principal Data and AI Scientist. In this role, you’ll architect and deploy advanced models that power smarter and personalized customer experiences, and risk optimization ’ll work with the latest technologies—Generative AI, RAG pipelines, vector databases, and cloud platforms like Azure ML and Databricks—while collaborating with business and tech teams to deliver solutions that truly make an impact.

This is a fully remote role but candidates must reside in (WA, OR, , OH, SC, TX, FL)

Responsibilities

• Build robust data pipelines for ingestion, transformation, and storage to support ML workloads.

• Deliver scalable solutions leveraging cloud platforms such as Azure ML, Databricks, and Snowflake.

• Lead the creation and deployment of AI models using supervised and unsupervised learning approaches.

• Architect and optimize Retrieval-Augmented Generation (RAG) pipelines for decision-support systems.

• Integrate vector databases and knowledge graphs to enhance AI-driven applications in underwriting and claims.

• Apply MLOps best practices for CI/CD, monitoring, and lifecycle management of models.

• Develop generative AI solutions for personalized experiences and automated decision-making.

• Implement NLP techniques to extract insights from unstructured data sources.

• Optimize models for performance and reliability in enterprise-scale environments.

• Conduct architecture reviews and performance tuning for AI/ML systems.

• Collaborate with business and technology teams to identify AI opportunities and define strategies.

• Ensure adherence to ethical AI standards, governance frameworks, and data privacy regulations.

• Mentor team members and foster technical growth.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field; advanced degree preferred.

• 8+ years of experience designing and deploying AI/ML models at enterprise scale.

• 5+ years working with cloud-based AI platforms (Azure ML, Databricks, Snowflake).

• Proven experience implementing supervised and unsupervised learning in production environments.

• Familiarity with frameworks like Lang Chain, Llama Index, Hugging Face, and generative AI tools.

• Strong skills in Python, PySpark, SQL, and distributed training on Databricks.

• Knowledge of Azure ecosystem components (Delta Lake, Unity Catalog, Synapse, Data Factory).

• Experience with NLP, generative AI, and RAG pipelines.

• Understanding of agile methodologies (Scrum) and model governance principles.

• Fully remote

• 3 Weeks of PTO + 8 paid holidays & 10 sick days

• FSA, HSA, and EAP programs

If you thrive on innovation, love solving complex problems, and want to lead AI-driven change in a dynamic industry, this is your opportunity to make your mark.

Equal Opportunity Employer/Veterans/Disabled

Equal opportunity employer. To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

• The California Fair Chance Act

• Los Angeles City Fair Chance Ordinance

• Los Angeles County Fair Chance Ordinance for Employers

• San Francisco Fair Chance Ordinance

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Insurance

Medical insurance

Vision insurance

401(k)

Disability insurance

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