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. Careem is led by a powerful purpose to simplify and improve the lives of people and build an organization that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 50 million customers, and built a platform for the region’s best talent to thrive and for entrepreneurs to scale their businesses. Careem operates in over 70 cities across 10 countries, from Morocco to Pakistan.
About the team
The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. As a leader in this team, you will work with top data science talent in the region, leveraging AI to solve day-to-day problems using state-of-the-art machine learning, optimization, deep learning, and reinforcement learning models deployed on our in-house AI platform, serving users in real-time.
What you'll do
- Develop a long-term vision for rethinking customer acquisition and engagement strategies using data-driven decision making.
- Conduct exploratory analysis to understand the ecosystem and user behavior, identifying new levers for metric improvement and building models for analysis and product enhancements.
- Shape and influence data and machine learning models and instrumentation to optimize product experience and identify new opportunities and products.
- Provide product leadership by sharing data-based recommendations to communicate business status, root causes of metric changes, and experiment results to influence decisions.
- Implement scalable machine learning algorithms for production on large datasets.
- Engage in exploratory data analysis to better understand phenomena and discover growth and optimization opportunities.
- Answer complex analytical questions from big data to improve Careem’s products and services.
- Define and monitor key metrics for specific projects.
- Design and execute randomized controlled experiments, analyze results, and communicate findings to teams.
- Continuously challenge the status quo and stay updated with industry best practices in data processing technologies.
What you'll need
- Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, and data transformation and cleaning for structured and unstructured data.
- Advanced degree in Physics, Statistics, Mathematics, Engineering, or Computer Science.
- Strong problem-solving and coding skills.
- Knowledge of marketplace problems in ride hailing and delivery services.
- Experience with A/B testing, classical machine learning, and deep learning.
- Understanding of recommendation systems, learning to rank, uplift modeling, and matching problems.
- Fluency in English with excellent communication skills.
- Proficiency in Python, SQL, Spark, and Hive.
- Experience with database technologies such as Hadoop, BigQuery, Amazon EMR, Oracle, and others.
- Experience with BI and visualization tools like Tableau, MicroStrategy, and geospatial data processing is a plus.
- Knowledge of Agile methodologies.
What we’ll provide you
We offer the opportunity to make an impact while growing professionally. As a full-time Careem employee, you will:
- Work with inspiring colleagues and be part of a community.
- Contribute to a purposeful organization impacting a region with great potential.
- Explore opportunities to learn and grow daily.
- Work 4 days a week in the office and 1 day from home, with options for remote work in other countries for 30 days annually and unlimited vacation days. (In tech roles, 2 office days and 3 remote days are typical.)
- Access healthcare benefits and fitness reimbursements for health activities.