Supply Chain Data Scientist - ML & GenAI in Seattle

Realign LLC; Seattle (WA); On-site; USD 121,000 - 164,000; Full time

Benefits offered by this job

Security governance practices

Operational readiness support

Job summary

Realign LLC is hiring a Data Scientist (Supply Chain Analytics) for an onsite role in Seattle, WA. You will build, test, and validate machine learning models to improve MRO and parts supply chain operations, owning data modeling, AWS-based engineering, NLP/GenAI, monitoring, and stakeholder reporting.

The role requires collaboration with stakeholders, development of modular code, and deployment automation, with a focus on security, governance, and operational readiness.

Qualifications

• Proficiency in AWS services, AI/ML modeling, data engineering and analytics.
• Strong Python or another programming language experience.
• Experience with NLP and unstructured data processing.
• Knowledge of GenAI and agentic AI frameworks.
• Experience developing, testing, and validating ML models from historical data.

Responsibilities

• Collaborate with stakeholders to understand MRO and optimize service delivery.
• Develop and validate ML models predicting future operational issues.
• Publish model performance metrics (accuracy, precision, recall, F1, MSE, R-squared).
• Build modular code and pass Info-sec vulnerability scans.
• Deploy automation for solution updates and infrastructure changes.
• Document runbooks and provide training sessions for models and assets.
• Follow Agile standards for requirements gathering and architecture design.
• Configure monitoring, logging, and alerting (CloudWatch, SNS).

Skills

AWS services

AI/ML modeling

data modeling

data engineering

data analytics

Python

NLP

GenAI

agentic AI frameworks

Tools

SageMaker

Glue

Lambda

S3

Redshift

Tableau

Azure DevOps

CloudWatch

SNS

Job description

Realign LLC is hiring a Data Scientist (Supply Chain Analytics) for an onsite role in Seattle, WA. You will build, test, and validate machine learning models to improve MRO and parts supply chain operations, owning data modeling, AWS-based engineering, NLP/GenAI, monitoring, and stakeholder reporting.

The role requires collaboration with stakeholders, development of modular code, and deployment automation, with a focus on security, governance, and operational readiness.