Senior Data Scientist

Dhl Express (usa), Inc.

United States

16 days ago

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Role details

Contract type

Permanent contract

Employment type

Part-time (≤ 32 hours)

Experience level

Expert

Experience required

6 years minimum

Working hours

Regular working hours

Job source

arc.dev

Tech stack

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

Job 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

Requirements

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