About the Job:
Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. The company's mission is to simplify and improve the lives of people and build an inspiring organization. Since its inception in 2012, Careem has supported over 2.5 million Captains and has simplified the lives of over 70 million customers, operating in over 70 cities across 10 countries from Morocco to Pakistan.
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The Careem Data Science team aims to drive competitive value from data through AI models that optimize user experiences, decision-making, and operational efficiencies. As a tech leader in this team, you will work alongside top data science talent while innovating user experiences utilizing GenAI.
What You'll Do:
- Participate in a 0-1 AI transformation for the Careem app with a focus on personalization.
- Develop a long-term vision for customer acquisition and engagement strategies using data-driven decision-making.
- Conduct exploratory analysis to understand the ecosystem and user behavior, identifying metrics that influence product enhancements.
- Shape and influence data/ML models to optimize product experience and uncover new opportunities.
- Provide product leadership with data-based recommendations that influence business decisions.
- Implement scalable machine learning algorithms for big data production.
- Conduct exploratory data analysis projects for better understanding and optimization opportunities.
- Define and track key metrics for projects, design and run randomized controlled experiments, and communicate results across teams.
- Challenge the status quo by investigating new data processing technologies and adhering to industry best practices.
- Build and deploy retrieval-augmented generation systems and applications of large language models.
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 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 (e.g., attention, retrieval models).
- 1-2 years of industrial experience in personalization, recommendation, or search is required, preferably in a product-driven company.
- Strong problem-solving and coding skills.
- Solid knowledge of A/B testing, classic machine learning, and deep learning.
- Proficiency in Python, SQL, Spark, and Hive.
- Experience with database technologies (e.g., Hadoop, BigQuery, Amazon EMR, Oracle, SAP).
- Familiarity with business intelligence and visualization tools (e.g., Tableau, MicroStrategy, Qlik), along with geospatial data processing skills, is a plus.
Work Conditions: Full-time
Location: Dubai, Dubai, United Arab Emirates
