Data Scientist

Realign LLC is hiring a Data Scientist (Supply Chain Analytics) for an onsite role in Seattle, WA. This position focuses on building, testing, and validating machine learning and analytics models that improve MRO and part supply chain operations, with end-to-end ownership across data modeling, AWS-based engineering, NLP/GenAI, monitoring, and stakeholder reporting. The role is supported by an AWS-centric platform and emphasizes security, governance, and operational readiness.

What you’ll do

• Collaborate with stakeholders to understand the current MRO process flow and gather actionable insights from that process.
• Analyze process and supply chain data to identify opportunities to optimize service delivery with greater speed and quality.
• Develop and validate machine learning models that predict issues for future operations using historical analysis from past operations.
• Build modular, reusable code and ensure it passes static and dynamic Info-sec vulnerability scans.
• Incorporate models into a broader application so business and operations stakeholders can take action.
• Deploy automation for solution updates including deployments, certificate updates, infrastructure changes, code changes, and failure notifications.
• Document runbook details for models and all cloud and code assets created by the team.
• Follow Agile standards for proposal development, including requirements gathering and architecture design.
• Develop new data ingestion patterns using existing patterns and frameworks, and make outputs available for applications and self-service.
• Implement security, governance, monitoring, alerting, and job orchestration as defined by ARB.
• Configure and deploy monitoring, logging, and alerting mechanisms such as CloudWatch and SNS.
• Conduct unit testing, integration testing, functional testing, and non-functional testing, then deliver handover documentation with a training session.
• Report to stakeholders on achievements, risks, and future work, including frequent communication and review cycles.

Domain and modeling focus

• Apply supply chain domain knowledge across inventory management, procurement, and logistics.
• Develop modeling and analytics frameworks, including validating automated report accuracy against human-written reports.
• Build NLP/GenAI modeling capabilities to derive insights from unstructured constraint notes and identify trends such as stale, complete, cancelled, or erroneous records (for example, last time a buyer updated a record).

What you bring

• Proficiency in AWS services, AI/ML modeling, data modeling, data engineering, and data analytics, including Tableau and Azure DevOps for project management.
• Strong Python and/or other programming language experience.
• Ability to analyze MRO process trends and bottlenecks and translate insights into practical analytics.
• Experience with unstructured data processing and NLP.
• Experience with generative AI and agentic AI frameworks.
• Experience developing, testing, and validating machine learning models that predict future operational issues from historical data analysis.
• Hands-on data model development using AWS services such as SageMaker, Glue, Lambda, S3, and Redshift.
• Ability to publish model performance metrics including accuracy, precision, recall, F1-score, MSE, and R-squared.
• Strong understanding of monitoring, logging, and alerting using tools such as CloudWatch and SNS.
• Ability to develop modular code that passes static and dynamic Info-sec vulnerability scans.
• Unit testing, integration testing, functional testing, and non-functional testing experience.

Technologies: AWS, Python, Tableau, Azure DevOps, SageMaker, Glue, Lambda, S3, Redshift, CloudWatch, SNS, NLP, Generative-AI, agentic AI frameworks, Info-sec.

Compensation: $142,810 per year.