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About the Role

As the Senior Manager Data Science of the Global QC Hub, you will lead and manage our talented ML team to improve price optimization and boost operational efficiency. You will own the entire ML workflow, from identifying opportunities to deployment, and lead our causal inference and experimentation practice to rigorously measure the impact of every model and decision.

Responsibilities

Develop a deep understanding of QC business products and operations.
Develop a deep familiarity with QC’s data platforms and dense data ecosystem.
Leverage understanding of QC business and data combined with ML expertise to identify opportunities for leveraging ML to realize business value.
Set the team's roadmap, success criteria, and priorities in collaboration with engineering and business partners.
Own the entire ML workflow including problem formulation, learning task definition, dataset development, modeling approach selection, model training and refinement, evaluation, and deployment to production.
Lead the experimentation and causal inference practice: design and review A/B, multivariate, switchback, and geo experiments, and apply causal methods to measure true business impact.
Own data analytics, data engineering, data modeling, and reporting functions.
Own the design and development of our ML platform including feature management, continuous training, serving, and integration for both online and batch inference use cases.
Participate in and lead key technical and design decisions as well as oversee the implementation and deployment of ML-based solutions.
Collaborate effectively with business, product, and engineering managers through the lifecycle of ML and data products.
Maintain a balance between building sustainable practices and going after high-impact projects, and identifying low cost, high impact wins and intelligent scoping to deliver value sooner.
Coach and mentor ML engineers, data scientists, and data engineers technically and professionally.
Develop, maintain, and manage the end-to-end data analysis, data engineering, and ML development processes.
Drive the recruitment and interviewing of outstanding data talent.
Contribute to the company's overall strategy and tech vision.
Play a key role in continuing to develop organizational structures to keep up with the scale.

Requirements

Expert in both classical machine learning and deep learning.
Strong experience with classical ML frameworks.
Strong experience with deep learning frameworks.
Familiarity with classical data structures and algorithms.
Experience deploying and managing production ML systems at scale.
Experience in recommendation, personalization, search, or logistics problems.
Strong background in experiment design and statistical analysis, with the ability to run and analyze A/B and multivariate tests.
Strong causal thinking and hands-on experience with incrementality measurement and uplift modelling.
Experience with advanced experimentation and causal methods, such as switchback testing, geo testing, marketing mix modelling (MMM), and matching.
Bachelor's degree in engineering, computer science, technology, or similar.
10+ years of overall experience working in software engineering and data with experience spanning multiple data disciplines.
8+ years of experience 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.

Skills

Machine learning
Deep learning
Classical ML frameworks
Deep learning frameworks
Data structures
Algorithms
Production ML systems
Recommendation systems
Personalization
Search
Logistics
Experiment design
Statistical analysis
A/B testing
Multivariate testing
Causal inference
Incrementality measurement
Uplift modelling
Switchback testing
Geo testing
Marketing mix modelling (MMM)
Matching
Data pipelines
Data modeling
Data reporting
Process optimization
Workflow automation

Experience Level

10+ years of overall experience
8+ years of experience in machine learning
3+ years of engineering management experience

Education Level

Bachelor's degree in engineering, computer science, technology, or similar
Postgraduate degree is a plus

About the Company

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers.
talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
Here at talabat, we are building a high performance culture through engaged workforce and growing talent density.
We're all about keeping it real and making a difference.
Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes.
We are proud to be a multi great place to work award winner.