Data Science Manager - Courier Pay Logistics

About the Role

Just Eat Takeaway.com is a prominent global online delivery platform dedicated to enhancing everyday convenience. Our technology connects millions of customers with numerous restaurant, grocery, and convenience partners worldwide. The logistics domain fuels this dynamic platform by managing real-time decisions that involve courier delivery assignments, arrival time predictions, supply-demand balancing, and marketplace pricing.

The Data Science Manager for Logistics is responsible for leading a capable team focused on crafting dependable, data-driven solutions that inform these critical logistics challenges. This role involves defining strategy, elevating technical standards, and mentoring senior scientists and team leads, while remaining engaged in complex modeling decisions. The position influences courier incomes, customer satisfaction, and overall business profitability through advanced data science applications.

Key Responsibilities

• Lead and expand a high-caliber team of up to 20 data scientists, operational research scientists, and machine learning engineers.
• Mentor senior researchers and team leads to build a strong leadership pipeline within the organization.
• Oversee hiring processes, workforce planning, and organizational design to accommodate team growth efficiently.
• Promote a culture of rapid experimentation, intellectual honesty, superior technical quality, and accountability for outcomes.
• Own and drive the logistics data science roadmap in collaboration with cross-functional leadership to tackle high-impact business opportunities.
• Transform complex logistics issues such as network congestion, pricing challenges, and supply shortages into actionable modeling strategies.
• Represent the logistics sector within company-wide data leadership to enhance tools and operational standards across teams.
• Partner with machine learning engineering to design, deploy, and oversee scalable, production-level machine learning systems.
• Direct technical choices concerning real-time inference and optimization under uncertainty, ensuring model dependability and sustainability.
• Act as the chief data science communicator to VP-level executives, simplifying complex model behaviors into meaningful business outcomes affecting critical logistics metrics.

Required Qualifications and Skills

• A degree in a quantitative discipline such as Data Science, Statistics, Operational Research, Mathematics, or Computer Science.
• Proven track record in managing high-performing data science teams within fast-paced product or technology environments.
• Expertise in machine learning, optimization techniques, and statistical modeling, with a keen sense for applying these methods to solve business problems.
• Experience in building and deploying machine learning models in production environments, especially those requiring real-time or high-throughput processing.
• Strong knowledge of causal inference and experimental design, including advanced methods like switchback testing and marketplace-sensitive frameworks.
• Commercial acumen linking modeling decisions to profit and loss, courier workforce dynamics, and customer satisfaction.
• Exceptional communication skills capable of influencing technical teams and senior business leaders.

Organizational Culture and Values

Our company fosters a fun, fast-paced, and supportive work environment that emphasizes growth, mutual support, and celebrating successes. We operate with a customer-first mindset, guided by our core values and behaviors aimed at outperforming competitors consistently. Inclusion, diversity, and belonging are foundational principles here, encouraging employees of all backgrounds to thrive and bring their authentic selves to work daily.