Data Scientist - Supply Chain Analytics

Centraprise; Seattle (WA); On-site; USD 120,000 - 170,000; Full time

Job summary

Centraprise is seeking a data science professional to analyze MRO and supply chain data, build and validate ML models, and deploy analytics-powered solutions on AWS. The role emphasizes unstructured data handling, NLP, and GenAI frameworks to drive operational efficiency.

Applicants should have strong Python skills, experience with SageMaker/Glue/Lambda, and a track record of delivering secure, scalable data products in a collaborative, agile environment. U.S. work authorization is required.

Qualifications

• Proficiency in AWS services, AI/ML modeling, Data modeling, data engineering, data analytics, Tableau and Azure DevOps for project management.
• Strong proficiency in Python or other programming languages.
• Data analysis to detail trends and bottlenecks in MRO and part supply chains.
• Experience with unstructured data processing and NLP.
• Experience with generative-AI and agentic AI frameworks.
• Apply analytics to business problems.

Responsibilities

• Develop, test, and validate ML models to predict issues in future operations from historical data.
• Develop data models using AWS services (SageMaker, Glue, Lambda, S3, Redshift).
• Publish model evaluation metrics (accuracy, precision, recall, F1, MSE, R-squared).
• Configure monitoring, logging, and alerting (CloudWatch, SNS).
• Write modular, secure code that passes security scans and vulnerability checks.
• Deploy automation for deployments, certificate updates, infrastructure changes, and failure notifications.
• Document Runbooks and architecture; conduct testing/validation of data and models.
• Collaborate with stakeholders; maintain agile project plans and progress reports.

Skills

AWS

AI/ML modeling

Data modeling

Data engineering

Data analytics

Tableau

Azure DevOps

Python

Data analysis

NLP

GenAI frameworks

Business analytics

ML development

Model evaluation

Monitoring

Security

Automation

Documentation

Testing

Agile

Requirements gathering

Stakeholder management

Advanced analytics

Financial data analytics

Data pipeline deployment

Cost optimization

Data products

Security governance

Communication

Analytical thinking

Tools

SageMaker

Glue

Lambda

S3

Redshift

CloudWatch

SNS

Job description

• Proficiency in AWS services, AI/ML modeling, Data modeling, data engineering, data analytics, tableau and Azure devops for project management.
• Strong Proficiency in Python and/or other programming language
• Should perform data analysis detailing the trends and bottlenecks in the MRO process and part supply chain.
• Experience with unstructured data processing and NLP
• Experience with generative-ai and agentic AI frameworks
• Experience in applying analytics in business problems
• Should develop, test, and validate the various machine learning models to predict for issues for future operations based on the historical data analysis from past operations.
• Development of data models using AWS services (e.g., Sagemaker, Glue, Lambda, S3, Redshift).
• Publish accuracy, precision, recall, F1-Score, MSE, R-squared etc. for the models
• Configuration of monitoring, logging, and alerting mechanisms (e.g., CloudWatch, SNS).
• Develop modular code that passes the static and dynamic Info-sec vulnerability scans
• Deploy automation to change the solution to be automated. E.g. Deployments, Certificate updates, Infrastructure changes, code changes, failure notifications etc.
• Document Runbook details of the above-mentioned models along with all the cloud and code assets created by the team.
• Conduct testing and validation activities for data and developed models.

Supply Chain Domain Knowledge:

Strong grasp of supply chain processes, including inventory management, procurement and logistics.

• Collaborate with stakeholders to understand the current MRO process flow
• Gather actionable insights into the process flow and supply chain for the maintenance, repair, and overhaul operations
• Analyze data around these processes and identify places where they can be optimized to provide quality services with greater speed.
• Incorporated models into a broader application which will drive actions by business and operations stakeholders
• Modeling & Advanced Analytics
• Algorithmic framework to process financial data and generate structured reports
• Validate accuracy of the generated reports against human written reports

NLP/GenAI Modeling

• Algorithmic framework to process and derive insights from unstructured constraint notes data
• Identify data trends such as last time buyer updated the record and other information to identify potentially stale, complete , cancelled and/or erroneous records
• Development of the project plan with key milestones and project deliverables
• Report out to stakeholders highlighting achievements, risks, and future work.
• Develop, test, and validate the various machine learning models
• Follow the Agile standard for the development of the requested proposal.
• Bring best practices, standards, and innovative ideas for Data Science, process, architecture, and design.
• Requirements gathering and architecture design.
• Development of data models using AWS services (e.g., Sagemaker, Glue, Lambda, S3, Redshift).
• Make data model outputs available for consumption, applications, and self-service.
• Build models that are performant and optimized for cloud expenses.
• Implement security, governance, monitoring, alerting, and job orchestration as defined by ARB.
• Conduct reviews along with frequent communication for stakeholders.
• Deployment of ingestion pipelines into dev, pre, and production environments.
• Configuration of monitoring, logging, and alerting mechanisms (e.g., CloudWatch, SNS).
• Unit testing, integration testing, functional, and non-functional testing.
• Handover documentation with a training session.

Generic Managerial Skills, If any

• Exceptional communication to bridge technical and non-technical teams.
• Strong analytical and problem-solving skills.
• Stakeholder management and cross-functional collaboration.

Please note – Centraprise is an equal opportunity employer. Applicants must be authorized to work in the U.S.

U.S. Citizens and Green Card holders are strongly encouraged to apply.