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. Careem is led by a powerful purpose to simplify and improve the lives of people and build an awesome organization that inspires. Since 2012, Careem has created earnings for over 2.5 million Captains, simplified the lives of over 70 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.
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, and operational efficiencies. As one of the leaders in this team, you will be at the forefront of fulfilling this mission, working with and leading the top data science talent of the region. You will leverage AI to solve day-to-day problems through state-of-the-art machine learning, optimization, deep learning, and RL models deployed on top of our in-house AI platform.
What You'll Do
- Build a long-term vision on customer acquisition and engagement strategies leveraging data in decision making.
- Drive exploratory analysis to understand the ecosystem and user behavior; identifying new levers to help move metrics and build models of user behaviors for analysis and product enhancements.
- Shape and influence data/ML models and instrumentation to optimize product experience and generate insights on new areas of opportunity and new products.
- Provide product leadership by sharing data-based recommendations to communicate the state of business, root cause of changes in metrics, and experimentation results influencing product and business decisions.
- Implement scalable machine learning algorithms for production on big data.
- Embark on exploratory data analysis projects to achieve a better understanding of phenomena and discover untapped areas of growth and optimization.
- Answer complex analytic questions from big data sets to help Careem shape its products and services better.
- Help define and track the appropriate key metrics for specific projects.
- Design and run randomized controlled experiments, analyze resulting data, and communicate results with other teams.
- Challenge the status quo and continually investigate new data processing technologies while ensuring industry best practices are followed.
What You'll Need
- 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.
- Strong problem-solving and coding skills.
- Solid knowledge of and experience with marketplace problems in ride-hailing and delivery services.
- Knowledge of AB testing, classic ML, and DL.
- Understanding of recommendations, learning to rank, uplift modeling, and matching problems.
- Fluency in English and excellent oral and written communication skills.
- Proficiency and demonstrated experience 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 is a plus (e.g. Tableau, MicroStrategy, ChartIO, Qlik).
- Knowledge of Agile methodologies.
Work Conditions
- Work 4 days a week in the office & 1 day from home, with the ability to work remotely from any country for 30 days a year.
- Unlimited vacation days per year.
- Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
