Data Scientist (Logistics)

About

Description

In this position, you will be working and collaborating with ML engineers, backend engineers, researchers, and product engineers in a cross-functional setting. Your core responsibilities will be on research, development, implementation, and testing of algorithms and methods for time series forecasting solutions that optimize our network. Among other things, you are the go-to person on the solution design, performance, and feature design.

Responsibilities

• Lead the development and implementation of advanced ML to improve business processes, such as ETAs and preparation times forecasting, demand prediction, and churn analysis
• Design and conduct experiments to test and validate models under various scenarios
• Fine-tune and deploy Models & applications for real-world use cases
• Design and evaluate data-driven experiments, ensuring robustness and real-world applicability
• Provide technical leadership in data science, mentoring junior team members, and driving best practices
• Translate complex analytical results into actionable business insights, presenting findings to senior leadership and stakeholders
• Stay up-to-date with the latest advancements in AI and ML, integrating cutting-edge techniques into business solutions
• Collaborate with cross-functional teams, including data scientists, engineers, and business managers, to identify key operational challenges and develop innovative solutions

Qualifications

• MSc in Data Science, Big Data, AI, Statistics or a related field

Application instructions:

• Follow all application instruction.