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# Senior Data Scientist

- **Company:** Dhl Express (usa), Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Data Visualization, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Robotic Automation Software, Microsoft Power Automate, Microsoft Fabric, Uipath, Information Technology
- **Published:** September 10, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pj24tmprn7

## About the Role

* Advanced Python and machine learning frameworks
 * Expert in Power BI and data visualisation
 * Strong hands-on experience with Microsoft Fabric
 * Experience with RPA tools and automation frameworks (e.g., UiPath, Power Automate)
 * Strong project management and stakeholder management
 * Strong interest in AI and building scalable AI + automation modules, Bachelor's/Master's in Data Science, Computer Science, or related field, 6-10 years in analytics/data science with leadership exposure

## Description

* Lead and guide Data Scientists, Analysts, and cross-functional data enthusiasts.
 * Drive AI-led initiatives by building reusable AI, RPA based modules and intelligent data products.
 * Own end-to-end delivery of data science projects with strong project management governance.

Reports to Head of IT, DHL eCommerce Australia

Differentiator

 * Strong expertise across Power BI, Python, Microsoft Fabric, and RPA platforms.
 * Combines data science, AI, and intelligent automation (RPA) capabilities.

Key Tasks

 * Mentor Data Scientists, Analysts, and data enthusiasts across functions.
 * Design and implement AI/ML models and RPA solutions for automation and optimisation.
 * Build reusable AI and RPA modules (forecasting, anomaly detection, process automation).
 * Lead end-to-end project delivery including planning, execution, and stakeholder alignment.
 * Drive Microsoft Fabric adoption for scalable data and analytics solutions.

Stakeholders

 * IT Team
 * Sales & Customer Sales teams
 * Finance and Commercial stakeholders
 * Operations Team

Management Responsibility

 * Mentor and influence teams without direct authority
 * Lead multiple data and AI initiatives
 * Build future data and AI capability across the organisation


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