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About the Role
As the Data Science Manager for Logistics Estimations, you will be the strategic leader responsible for maximizing the impact of our predictive engine on the global delivery network. Your primary focus will be providing vision, strategic oversight, and leadership to a fully experienced team of Data Scientists specializing in Estimated Time of Arrival (ETA) prediction and other critical logistics estimations. This is a strategic leadership role where your focus is on defining data science solutions, collaborating on the roadmap, driving business outcomes, and expertly managing and developing your team. Experience in model development and deployment is essential for providing effective technical guidance and strategy to the team. Your core mission is to elevate the accuracy of pre-purchase and post-purchase estimated delivery time models by translating business performance challenges into data science solutions.
Responsibilities
- Manage, mentor, and coach a high-performing team of Data Scientists to foster a collaborative and results-driven culture.
- Define logistics estimation solutions aligned with business goals, partnering with Product Management to prioritize initiatives.
- Manage dependencies and collaborate closely with Machine Learning and Backend Engineers for effective ETA implementation.
- Take ownership of logistics KPIs, specifically focusing on improving overall ETA accuracy throughout the customer journey.
- Lead deep-dive analysis into ETA model accuracy gaps to diagnose and address operational friction points.
- Translate analysis findings into actionable plans and conceptual designs for new features or model improvements.
- Act as the primary interface, translating complex data and ML concepts into clear business insights for non-technical stakeholders.
- Lead the conceptual design and validation strategy for new predictive features and models.
- Act as the senior technical expert, overseeing architectural decisions and maintaining high quality through design discussions and reviews.
- Partner with Machine Learning Engineers to transition robust designs and algorithmic logic into production.
Requirements
- A Master's degree or PhD in Data Science, Computer Science, Statistics, or a related quantitative field.
- Proven, extensive experience in leadership and people management, with a demonstrated ability to mentor, guide, and develop Data Scientists.
- Prior hands-on experience developing, deploying, and maintaining machine learning models in a corporate environment.
- Advanced conceptual proficiency in data science and machine learning methodologies, ideally with experience in logistics, geospatial analysis, and ETA prediction or routing problems.
- Demonstrated experience in root-cause analysis of complex production model performance issues and the ability to translate those findings into effective business and technical solutions.
- Strong understanding of the model lifecycle and best practices, including testing, code reviews, and monitoring.
- Exceptional communication and stakeholder management skills, with the ability to influence technical peers and non-technical business leaders.
Skills
- Data Science
- Computer Science
- Statistics
- Machine Learning
- Logistics
- Geospatial Analysis
- ETA Prediction
- Routing Problems
- Deep Learning
- Model Development
- Model Deployment
- Root-Cause Analysis
- Stakeholder Management
Location
- Global
Work Type
- Full-time
Experience Level
- Extensive leadership and people management experience
- Senior technical expert
Education Level
- Master's degree or PhD
About the Company
- We’re a leading global online delivery platform, and our vision is to empower everyday convenience.
- Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
- Being the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable – our customers' choice.
- At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation.
- These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.
- Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins.
- By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.
Equal Opportunity
- No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.