Senior Manager Data Science - Dark Stores Intelligence

About the role

As Senior Manager Data Science of the Global QC Hub at Delivery Hero (talabat), you will lead and manage the ML team focused on improving price optimization and operational efficiency. You will work closely with Data Engineers and Data Scientists and with product and business managers across talabat and Delivery Hero, owning the full ML workflow from opportunity identification to deployment, and leading the causal inference and experimentation practice.

Key responsibilities

• Set the team's roadmap, success criteria and priorities with engineering and business partners.
• Own the ML workflow: problem formulation, task definition, data preparation, model selection, training, evaluation and deployment to production.
• Lead experimentation and causal inference: design and review A/B, multivariate, switchback and geo experiments, and apply incrementality, uplift modelling, matching and MMM to measure true impact.
• Own data analytics, data engineering, data modeling and reporting, and the ML platform including feature management, continuous training, serving and online/batch inference.
• Drive recruitment and interviewing of data talent, coach and mentor ML engineers and data scientists, and contribute to the company's strategy and organizational structure.

Required profile

• Bachelor's degree in engineering, computer science, technology or similar; a postgraduate degree is a plus.
• 10+ years of experience in software engineering and data across multiple disciplines.
• 8+ years in machine learning at a high-growth consumer product company or similar.
• 3+ years of engineering management experience in ML engineering or a related area.

Required skills

• Expertise in classical machine learning and deep learning, with strong experience of their frameworks.
• Experience deploying and managing production ML systems at scale.
• Strong background in experiment design and statistical analysis, including A/B and multivariate tests.
• Causal thinking and hands-on experience with incrementality, uplift modelling, switchback testing, geo testing, MMM and matching.
• Experience in recommendation, personalization, search or logistics; process optimization is a plus.