Summary
✨ AI‑Generated
A data scientist is sought to analyze complex operational data and develop models that improve efficiency and customer experiences. The role combines analytics, experimentation, and advanced problem solving.
Highlights
Data science role focused on solving real-world optimization challenges and improving operational decisions through analytics and modeling.
Description
Job DescriptionWe are on the lookout for a Data Scientist to join the Logistics Optimization team on our journey to always deliver amazing experiences.
In our Logistics Team, you’ll tackle high-impact challenges that make last-mile delivery efficient, affordable, and sustainable.
Your work will directly improve experiences for riders, end customers, and merchants across the globe.
Each enhancement you contribute will help Delivery Hero optimize delivery operations, supporting expansion into new areas like grocery and retail.
The Optimization Tribe's purpose is to maximize Delivery Hero's logistics performance.
We achieve this by owning and continuously improving the sophisticated algorithm that solves the real-time vehicle routing problem, assigning orders efficiently every minute.
This directly impacts DH's core efficiency and customer satisfaction KPIs, influencing decisions for stakeholders from Operations to Product.
As a Data Scientist, your value lies in tackling these fascinating problems head-on and building ML products which shape the algorithm's logic and decisions to meet our long-term goals of best-in-class efficiency and service, making a tangible impact across the Delivery Hero network.
Design & Innovate: Lead the conceptualization and design of advanced modeling solutions (using a mix of ML, Statistics and Math) to tackle complex, large-scale Logistics challenges, ensuring alignment with business value and stakeholder needs.
Build & Automate: Take ownership of developing, implementing and automating robust data science models and pipelines, including feature generation, retraining, and prediction deployment, leveraging tools like BigQuery and Spark as needed.
Solve & Collaborate: Actively drive technical discussions and problem-solving sessions, contributing significant expertise and innovative ideas to overcome the toughest modeling hurdles alongside your Data Science peers and squad lead.
Drive Business Impact: Translate sophisticated analytical findings and model outcomes into clear, actionable insights for stakeholders, demonstrably driving value and improvements in key business metrics.
Shape Data Strategy: Proactively engage with Data & ML Engineering and Tech teams to define critical data requirements and influence technical roadmaps, ensuring the necessary data infrastructure for impactful projects.
Contribute & Elevate: Make a significant impact within our fast-paced, global organization by delivering high-quality solutions, sharing knowledge, and contributing to the team's overall growth and best practices.
