Senior Data Scientist II - Personalization
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Key skills for this role
About the Role
Careem is looking for a Senior Data Scientist II to join the Personalization team in Dubai, driving hyper-personalization across Food, Quik, and Shops.
Key Skills for This Role
Responsibilities
- Drive real time, cross vertical personalization across Food, Quik, and Shops
- Advance graph based retrieval methods for recommendations
- Build next generation ranking models using transformer based architectures
- Pioneer real time learning systems that adapt to user behavior within a session
- Build for cross learning across verticals to reduce duplicate work
- Shape how generative AI and LLM based systems augment retrieval and ranking
- Drive exploratory analysis to understand user behavior across verticals
- Implement scalable machine learning algorithms that run in production on large scale data
- Design and run randomized controlled experiments (A/B tests) and communicate findings
- Build and deploy retrieval augmented generation (RAG) systems within the personalization stack
Requirements
- 6 8 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies
- Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science
- Solid experience with deep learning techniques including attention mechanisms, retrieval models, and transformer based architectures applied to ranking or recommendation problems
- 2 4 years of industry experience in personalization, recommendation, or search
- Strong problem solving and coding skills
- Solid knowledge of A/B testing methodology, classical ML, and deep learning
- Proficiency in Python, SQL, Spark, and Hive
- Experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL)
- Experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik)
Full Job Posting
About the Company
- Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more.
- Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive.
- We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
- We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem solvers who know how to apply AI to build tools, automate workflows, and create real impact.
About The Team
- The Personalization team sits within Careem's Data Science organization and owns the AI systems that decide what every user sees, in what order, and why across Food, Quik, and Shops.
- Our mission is to build the hyper personalization layer for the Careem app: real time, cross vertical recommendation and ranking systems that learn from a user's behavior in one vertical and apply that understanding everywhere else they engage with Careem.
What You'll Do
- Drive real time, cross vertical personalization: Own hyper personalization use cases across Food, Quik, and Shops designing systems that learn a user's intent and preferences in real time and transfer that signal across verticals.
- Advance graph based retrieval: Be a technical lead on Careem's exploration of graph based retrieval methods for recommendations including evaluating and building knowledge graph pipelines that power candidate generation and ranking at scale.
- Build next generation ranking models: Design and evaluate transformer based architectures (XFY) for sequential and contextual recommendation moving Careem's ranking and retrieval stack beyond classical ML toward deep, attention based models.
- Pioneer real time learning: Push toward online/streaming learning systems that adapt to user behavior within a session, not just from batch trained models refreshed on a daily cadence.
- Build for cross learning: Identify where personalization signals, models, or infrastructure can be shared across Food, Quik, and Shops rather than rebuilt per vertical reducing duplicate work and compounding the value of every experiment.
- Be part of a 0 to 1 AI transformation for the Careem app from a personalization standpoint shaping how generative AI and LLM based systems augment retrieval and ranking.
- Build a long term vision for how Careem rethinks customer acquisition and engagement strategies, grounded in data driven decision making.
- Drive exploratory analysis to understand user behavior across verticals, identifying new levers to move metrics and building behavioral models that inform product enhancements.
- Shape and influence the ML models and instrumentation that optimize the product experience, surfacing new areas of opportunity and new product directions.
- Provide product leadership through data driven recommendations communicating the state of the business, root causing metric movements, and using experimentation results to influence product and business decisions.
- Implement scalable machine learning algorithms that run in production on large scale data.
- Run exploratory data analysis to better understand user and business phenomena, and to discover untapped areas of growth and optimization.
What You'll Need
- 6 8 years of experience in data mining, predictive modeling, time series analysis, machine learning, and Big Data methodologies, including transformation and cleaning of structured and unstructured data.
- Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering, or Computer Science.
- Solid experience with deep learning techniques including attention mechanisms, retrieval models, and transformer based architectures (XFY or similar) applied to ranking or recommendation problems.
- Working with or evaluating knowledge graphs, graph neural networks, or graph based retrieval systems is a strong plus.
- 2 4 years of industry experience in personalization, recommendation, or search is a MUST.
- Strong problem solving and coding skills.
- Solid knowledge of A/B testing methodology, classical ML, and deep learning.
- Solid understanding of recommendations, ranking, and retrieval systems end to end.
- Familiarity with or interest in online/streaming learning systems is a strong plus.
- Proficiency and demonstrated experience in Python, SQL, Spark, and Hive.
- Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
- Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik); geospatial data processing skills are a plus.
What We'll Provide You
- Work and learn from great minds by joining a community of inspiring colleagues.
- Put your passion to work in a purposeful organization dedicated to creating impact in a region with a lot of untapped potential.
- Explore new opportunities to learn and grow every day.
- Work remotely from any country in the world for 30 days a year with unlimited vacation days per year.
- Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
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